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ORCIDXiang Ren 0001
Person information
- affiliation: University of Southern California, CA, USA
- affiliation (former): University of Illinois at Urbana-Champaign, Urbana, IL, USA
Other persons with the same name
- Xiang Ren — disambiguation page
- Xiang Ren 0002
![[0000-0002-2120-3064]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2120-3064")
— Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Wuhan, China - Xiang Ren 0003 (aka: Xiang (Jenny) Ren) — University of Toronto, Canada
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2020 – today
- 2024
[c178]Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap:
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty. ACL (1) 2024: 3623-3643- [c177]Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren:
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs. ACL (1) 2024: 7523-7543 - [c176]Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren:
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification. ACL (Findings) 2024: 10361-10386 - [c175]Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren:
In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search. EMNLP 2024: 2348-2370 - [c174]Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren:
Symbolic Working Memory Enhances Language Models for Complex Rule Application. EMNLP 2024: 17583-17604 - [c173]Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi:
PlaSma: Procedural Knowledge Models for Language-based Planning and Re-Planning. ICLR 2024 - [c172]Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren:
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. ICLR 2024 - [c171]Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren:
Tailoring Self-Rationalizers with Multi-Reward Distillation. ICLR 2024 - [c170]Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng:
WildChat: 1M ChatGPT Interaction Logs in the Wild. ICLR 2024 - [c169]Xisen Jin, Xiang Ren:
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement. ICML 2024 - [i171]Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Maarten Sap:
Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty. CoRR abs/2401.06730 (2024) - [i170]Xisen Jin, Xiang Ren:
What Will My Model Forget? Forecasting Forgotten Examples in Language Model Refinement. CoRR abs/2402.01865 (2024) - [i169]Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng, Quoc V. Le, Ed H. Chi, Denny Zhou, Swaroop Mishra, Huaixiu Steven Zheng:
Self-Discover: Large Language Models Self-Compose Reasoning Structures. CoRR abs/2402.03620 (2024) - [i168]Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren:
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification. CoRR abs/2402.03686 (2024) - [i167]Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren:
Can LLMs Reason with Rules? Logic Scaffolding for Stress-Testing and Improving LLMs. CoRR abs/2402.11442 (2024) - [i166]Woojeong Jin, Tejas Srinivasan, Jesse Thomason, Xiang Ren:
WinoViz: Probing Visual Properties of Objects Under Different States. CoRR abs/2402.13584 (2024) - [i165]Matthew Finlayson, Xiang Ren, Swabha Swayamdipta:
Logits of API-Protected LLMs Leak Proprietary Information. CoRR abs/2403.09539 (2024) - [i164]Huihan Li, Liwei Jiang, Jena D. Huang, Hyunwoo Kim, Sebastin Santy, Taylor Sorensen, Bill Yuchen Lin, Nouha Dziri, Xiang Ren, Yejin Choi:
CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language Prompting. CoRR abs/2404.10199 (2024) - [i163]Wenting Zhao, Xiang Ren, Jack Hessel, Claire Cardie, Yejin Choi, Yuntian Deng:
WildChat: 1M ChatGPT Interaction Logs in the Wild. CoRR abs/2405.01470 (2024) - [i162]Xisen Jin, Xiang Ren:
Demystifying Forgetting in Language Model Fine-Tuning with Statistical Analysis of Example Associations. CoRR abs/2406.14026 (2024) - [i161]Sahana Ramnath, Kartik Pandey, Elizabeth Boschee, Xiang Ren:
CAVE: Controllable Authorship Verification Explanations. CoRR abs/2406.16672 (2024) - [i160]Kaitlyn Zhou, Jena D. Hwang, Xiang Ren, Nouha Dziri, Dan Jurafsky, Maarten Sap:
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance. CoRR abs/2407.07950 (2024) - [i159]Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren:
Symbolic Working Memory Enhances Language Models for Complex Rule Application. CoRR abs/2408.13654 (2024) - [i158]Jun Yan, Wenjie Jacky Mo, Xiang Ren, Robin Jia:
Rethinking Backdoor Detection Evaluation for Language Models. CoRR abs/2409.00399 (2024) - [i157]Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie, Yejin Choi:
WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild. CoRR abs/2409.03753 (2024) - [i156]Michael J. Q. Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin:
Diverging Preferences: When do Annotators Disagree and do Models Know? CoRR abs/2410.14632 (2024) - [i155]Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan:
Hybrid Forecasting of Geopolitical Events. CoRR abs/2412.10981 (2024) - 2023
- [j9]Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan:
Hybrid forecasting of geopolitical events†. AI Mag. 44(1): 112-128 (2023) - [j8]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [j7]Tian Xie, Chaoyang He, Xiang Ren, Cyrus Shahabi, C.-C. Jay Kuo:
L-BGNN: Layerwise Trained Bipartite Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10711-10723 (2023) - [c168]Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren:
On Grounded Planning for Embodied Tasks with Language Models. AAAI 2023: 13192-13200 - [c167]Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren:
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. ACL (demo) 2023: 264-273 - [c166]Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta:
REV: Information-Theoretic Evaluation of Free-Text Rationales. ACL (1) 2023: 2007-2030 - [c165]Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi:
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. ACL (1) 2023: 2665-2679 - [c164]Meryem M'hamdi, Xiang Ren, Jonathan May:
Cross-lingual Continual Learning. ACL (1) 2023: 3908-3943 - [c163]Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren:
SCOTT: Self-Consistent Chain-of-Thought Distillation. ACL (1) 2023: 5546-5558 - [c162]Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren:
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. ACL (1) 2023: 6308-6321 - [c161]Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren:
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. ACL (1) 2023: 7103-7128 - [c160]Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi:
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. ACL (1) 2023: 8158-8185 - [c159]Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu:
I Cast Detect Thoughts: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. ACL (1) 2023: 11136-11155 - [c158]Albert Xu, Xiang Ren, Robin Jia:
Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models. ACL (1) 2023: 11778-11801 - [c157]Jun Yan, Vansh Gupta, Xiang Ren:
BITE: Textual Backdoor Attacks with Iterative Trigger Injection. ACL (1) 2023: 12951-12968 - [c156]Dongfu Jiang, Xiang Ren, Bill Yuchen Lin:
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion. ACL (1) 2023: 14165-14178 - [c155]Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren:
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction. EACL 2023: 3003-3017 - [c154]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Y. Lin, Skyler Hallinan, Lianhui Qin, Xiang Ren, Sean Welleck, Yejin Choi:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. EMNLP 2023: 6863-6883 - [c153]Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia:
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench. EMNLP (Findings) 2023: 7493-7517 - [c152]Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia:
Estimating Large Language Model Capabilities without Labeled Test Data. EMNLP (Findings) 2023: 9530-9546 - [c151]Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng:
Dataless Knowledge Fusion by Merging Weights of Language Models. ICLR 2023 - [c150]Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren:
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. ICLR 2023 - [c149]Julie Jiang, Xiang Ren, Emilio Ferrara:
Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks. ICWSM 2023: 459-469 - [c148]Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi:
Faith and Fate: Limits of Transformers on Compositionality. NeurIPS 2023 - [c147]Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, Xiang Ren:
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. NeurIPS 2023 - [c146]Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu:
Knowledge-Augmented Methods for Natural Language Processing. WSDM 2023: 1228-1231 - [d1]Huihan Li, Yuting Ning, Zeyi Liao, Xiang Ren:
Logic-Induced-Long-Tail (LINT). Zenodo, 2023
- [i154]Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren:
SCOTT: Self-Consistent Chain-of-Thought Distillation. CoRR abs/2305.01879 (2023) - [i153]Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren:
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales. CoRR abs/2305.07095 (2023) - [i152]Woojeong Jin, Subhabrata Mukherjee, Yu Cheng, Yelong Shen, Weizhu Chen, Ahmed Hassan Awadallah, Damien Jose, Xiang Ren:
GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions. CoRR abs/2305.14676 (2023) - [i151]Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia:
Estimating Large Language Model Capabilities without Labeled Test Data. CoRR abs/2305.14802 (2023) - [i150]Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia:
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench. CoRR abs/2305.14947 (2023) - [i149]Ximing Lu, Faeze Brahman, Peter West, Jaehun Jung, Khyathi Raghavi Chandu, Abhilasha Ravichander, Lianhui Qin, Prithviraj Ammanabrolu, Liwei Jiang, Sahana Ramnath, Nouha Dziri, Jillian Fisher, Bill Yuchen Lin, Skyler Hallinan, Xiang Ren, Sean Welleck, Yejin Choi:
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning. CoRR abs/2305.15065 (2023) - [i148]Bill Yuchen Lin, Yicheng Fu, Karina Yang, Prithviraj Ammanabrolu, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Yejin Choi, Xiang Ren:
SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks. CoRR abs/2305.17390 (2023) - [i147]Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li, Liwei Jiang, Bill Yuchen Lin, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena D. Hwang, Soumya Sanyal, Sean Welleck, Xiang Ren, Allyson Ettinger, Zaïd Harchaoui, Yejin Choi:
Faith and Fate: Limits of Transformers on Compositionality. CoRR abs/2305.18654 (2023) - [i146]Faeze Brahman, Chandra Bhagavatula, Valentina Pyatkin, Jena D. Hwang, Xiang Lorraine Li, Hirona Jacqueline Arai, Soumya Sanyal, Keisuke Sakaguchi, Xiang Ren, Yejin Choi:
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) Planning. CoRR abs/2305.19472 (2023) - [i145]Dongfu Jiang, Xiang Ren, Bill Yuchen Lin:
LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion. CoRR abs/2306.02561 (2023) - [i144]Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi:
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. CoRR abs/2306.14050 (2023) - [i143]Peifang Wang, Olga Golovneva, Armen Aghajanyan, Xiang Ren, Muhao Chen, Asli Celikyilmaz, Maryam Fazel-Zarandi:
DOMINO: A Dual-System for Multi-step Visual Language Reasoning. CoRR abs/2310.02804 (2023) - [i142]Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, Aditya Gupta, Kevin R. McKee, Ari Holtzman, Jay Pujara, Xiang Ren, Swaroop Mishra, Aida Nematzadeh, Shyam Upadhyay, Manaal Faruqui:
How FaR Are Large Language Models From Agents with Theory-of-Mind? CoRR abs/2310.03051 (2023) - [i141]Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren:
Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement. CoRR abs/2310.08559 (2023) - [i140]Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren:
Tailoring Self-Rationalizers with Multi-Reward Distillation. CoRR abs/2311.02805 (2023) - [i139]Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Faeze Brahman, Wenting Zhao, Yejin Choi, Xiang Ren:
In Search of the Long-Tail: Systematic Generation of Long-Tail Knowledge via Logical Rule Guided Search. CoRR abs/2311.07237 (2023) - 2022
- [c145]Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu:
Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) 2022: 12-20 - [c144]Soumya Sanyal, Harman Singh, Xiang Ren:
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language. ACL (1) 2022: 1075-1093 - [c143]Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur:
Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation. ACL (1) 2022: 1237-1252 - [c142]Dong-Ho Lee, Akshen Kadakia, Kangmin Tan, Mahak Agarwal, Xinyu Feng, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren:
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. ACL (1) 2022: 2687-2700 - [c141]Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren:
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer. ACL (1) 2022: 2750-2762 - [c140]Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren:
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models. ACL (1) 2022: 2763-2775 - [c139]Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih:
On Continual Model Refinement in Out-of-Distribution Data Streams. ACL (1) 2022: 3128-3139 - [c138]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. ACL (1) 2022: 4961-4974 - [c137]Qinyuan Ye, Juan Zha, Xiang Ren:
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts. EMNLP (Findings) 2022: 2567-2592 - [c136]Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren:
ER-Test: Evaluating Explanation Regularization Methods for Language Models. EMNLP (Findings) 2022: 3315-3336 - [c135]Jacob Bremerman, Xiang Ren, Jonathan May:
Machine Translation Robustness to Natural Asemantic Variation. EMNLP 2022: 3517-3532 - [c134]Soumya Sanyal, Zeyi Liao, Xiang Ren:
RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners. EMNLP 2022: 9614-9631 - [c133]Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren:
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. EMNLP 2022: 10450-10468 - [c132]Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren:
Contextualized Scene Imagination for Generative Commonsense Reasoning. ICLR 2022 - [c131]Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz:
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. ICML 2022: 2867-2889 - [c130]Alexander Spangher, Xiang Ren, Jonathan May, Nanyun Peng:
NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge. NAACL-HLT 2022: 127-157 - [c129]Bill Yuchen Lin, Chaoyang He, Zihang Ze, Hulin Wang, Yufen Hua, Christophe Dupuy, Rahul Gupta, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr:
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. NAACL-HLT (Findings) 2022: 157-175 - [c128]Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren:
On the Robustness of Reading Comprehension Models to Entity Renaming. NAACL-HLT 2022: 508-520 - [c127]Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech:
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. NAACL-HLT 2022: 2361-2375 - [c126]Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren:
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. NAACL-HLT 2022: 4764-4780 - [c125]Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren:
Unsupervised Cross-Task Generalization via Retrieval Augmentation. NeurIPS 2022 - [c124]Kexuan Sun, Zhiqiang Qiu, Abel Salinas, Yuzhong Huang, Dong-Ho Lee, Daniel Benjamin, Fred Morstatter, Xiang Ren, Kristina Lerman, Jay Pujara:
Assessing Scientific Research Papers with Knowledge Graphs. SIGIR 2022: 2467-2472 - [i138]Woojeong Jin, Dong-Ho Lee, Chenguang Zhu, Jay Pujara, Xiang Ren:
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-modal Knowledge Transfer. CoRR abs/2203.07519 (2022) - [i137]Soumya Sanyal, Harman Singh, Xiang Ren:
FaiRR: Faithful and Robust Deductive Reasoning over Natural Language. CoRR abs/2203.10261 (2022) - [i136]Bill Yuchen Lin, Kangmin Tan, Chris Miller, Beiwen Tian, Xiang Ren:
Unsupervised Cross-Task Generalization via Retrieval Augmentation. CoRR abs/2204.07937 (2022) - [i135]Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih:
On Continual Model Refinement in Out-of-Distribution Data Streams. CoRR abs/2205.02014 (2022) - [i134]Meryem M'hamdi, Xiang Ren, Jonathan May:
Cross-lingual Lifelong Learning. CoRR abs/2205.11152 (2022) - [i133]Jacob Bremerman, Xiang Ren, Jonathan May:
Machine Translation Robustness to Natural Asemantic Variation. CoRR abs/2205.12514 (2022) - [i132]Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren:
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models. CoRR abs/2205.12542 (2022) - [i131]Soumya Sanyal, Zeyi Liao, Xiang Ren:
RobustLR: Evaluating Robustness to Logical Perturbation in Deductive Reasoning. CoRR abs/2205.12598 (2022) - [i130]Jun Yan, Vansh Gupta, Xiang Ren:
Textual Backdoor Attacks with Iterative Trigger Injection. CoRR abs/2205.12700 (2022) - [i129]Qinyuan Ye, Juan Zha, Xiang Ren:
Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts. CoRR abs/2205.12701 (2022) - [i128]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i127]Alexander Spangher, Xiang Ren, Jonathan May, Nanyun Peng:
NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning Challenge. CoRR abs/2206.07106 (2022) - [i126]Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren:
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. CoRR abs/2207.00779 (2022) - [i125]Julie Jiang, Xiang Ren, Emilio Ferrara:
Retweet-BERT: Political Leaning Detection Using Language Features and Information Diffusion on Social Networks. CoRR abs/2207.08349 (2022) - [i124]Bill Yuchen Lin, Chengsong Huang, Qian Liu, Wenda Gu, Sam Sommerer, Xiang Ren:
On Grounded Planning for Embodied Tasks with Language Models. CoRR abs/2209.00465 (2022) - [i123]Hanjie Chen, Faeze Brahman, Xiang Ren, Yangfeng Ji, Yejin Choi, Swabha Swayamdipta:
REV: Information-Theoretic Evaluation of Free-Text Rationales. CoRR abs/2210.04982 (2022) - [i122]Xuan Yang, Quanjin Tao, Xiao Feng, Donghong Cai, Xiang Ren, Yang Yang:
MMGA: Multimodal Learning with Graph Alignment. CoRR abs/2210.09946 (2022) - [i121]Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren:
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models. CoRR abs/2210.16978 (2022) - [i120]Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren:
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. CoRR abs/2211.01562 (2022) - [i119]Pei Zhou, Hyundong Cho, Pegah Jandaghi, Dong-Ho Lee, Bill Yuchen Lin, Jay Pujara, Xiang Ren:
Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality. CoRR abs/2211.09267 (2022) - [i118]Albert Xu, Xiang Ren, Robin Jia:
CoNAL: Anticipating Outliers with Large Language Models. CoRR abs/2211.15718 (2022) - [i117]Soumya Sanyal, Yichong Xu, Shuohang Wang, Ziyi Yang, Reid Pryzant, Wenhao Yu, Chenguang Zhu, Xiang Ren:
APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning. CoRR abs/2212.09282 (2022) - [i116]Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren:
KNIFE: Knowledge Distillation with Free-Text Rationales. CoRR abs/2212.09721 (2022) - [i115]Xisen Jin, Xiang Ren, Daniel Preotiuc-Pietro, Pengxiang Cheng:
Dataless Knowledge Fusion by Merging Weights of Language Models. CoRR abs/2212.09849 (2022) - [i114]Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu:
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons. CoRR abs/2212.10060 (2022) - [i113]Dongfu Jiang, Bill Yuchen Lin, Xiang Ren:
PairReranker: Pairwise Reranking for Natural Language Generation. CoRR abs/2212.10555 (2022) - 2021
- [c123]Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren:
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. AAAI 2021: 14621-14629 - [c122]Qinyuan Ye, Xiang Ren:
Learning to Generate Task-Specific Adapters from Task Description. ACL/IJCNLP (2) 2021: 646-653 - [c121]Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren:
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning. ACL/IJCNLP (1) 2021: 1274-1287 - [c120]Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren:
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge. ACL/IJCNLP (Findings) 2021: 1504-1515 - [c119]Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren:
Do Language Models Perform Generalizable Commonsense Inference? ACL/IJCNLP (Findings) 2021: 3681-3688 - [c118]Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. ACL/IJCNLP (Findings) 2021: 4038-4051 - [c117]Woojeong Jin, Rahul Khanna, Suji Kim, Dong-Ho Lee, Fred Morstatter, Aram Galstyan, Xiang Ren:
ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data. ACL/IJCNLP (1) 2021: 4636-4650 - [c116]Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong:
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. ACL/IJCNLP (1) 2021: 4694-4705 - [c115]Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan:
One-shot Learning for Temporal Knowledge Graphs. AKBC 2021 - [c114]Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren:
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. EMNLP (Findings) 2021: 714-729 - [c113]Mozhdeh Gheini, Xiang Ren, Jonathan May:
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation. EMNLP (1) 2021: 1754-1765 - [c112]Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz:
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding. EMNLP (Findings) 2021: 3557-3569 - [c111]Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren:
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. EMNLP (1) 2021: 3728-3737 - [c110]Pei Zhou, Pegah Jandaghi, Hyundong Cho, Bill Yuchen Lin, Jay Pujara, Xiang Ren:
Probing Commonsense Explanation in Dialogue Response Generation. EMNLP (Findings) 2021: 4132-4146 - [c109]Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan:
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. EMNLP (1) 2021: 5016-5033 - [c108]Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren:
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation. EMNLP (1) 2021: 5063-5074 - [c107]Rujun Han, Xiang Ren, Nanyun Peng:
ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning. EMNLP (1) 2021: 5367-5380 - [c106]Qinyuan Ye, Bill Yuchen Lin, Xiang Ren:
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. EMNLP (1) 2021: 7163-7189 - [c105]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
On the Influence of Masking Policies in Intermediate Pre-training. EMNLP (1) 2021: 7190-7202 - [c104]Pei Zhou, Rahul Khanna, Seyeon Lee, Bill Yuchen Lin, Daniel Ho, Jay Pujara, Xiang Ren:
RICA: Evaluating Robust Inference Capabilities Based on Commonsense Axioms. EMNLP (1) 2021: 7560-7579 - [c103]Soumya Sanyal, Xiang Ren:
Discretized Integrated Gradients for Explaining Language Models. EMNLP (1) 2021: 10285-10299 - [c102]Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. ICLR 2021 - [c101]Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Xiang Ren:
Pre-training Text-to-Text Transformers for Concept-centric Common Sense. ICLR 2021 - [c100]Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May:
X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering. NAACL-HLT 2021: 3617-3632 - [c99]Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren:
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. NAACL-HLT 2021: 3770-3783 - [c98]Jiaming Shen, Wenda Qiu, Yu Meng, Jingbo Shang, Xiang Ren, Jiawei Han:
TaxoClass: Hierarchical Multi-Label Text Classification Using Only Class Names. NAACL-HLT 2021: 4239-4249 - [c97]Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen:
Differentiable Open-Ended Commonsense Reasoning. NAACL-HLT 2021: 4611-4625 - [c96]Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren:
Refining Language Models with Compositional Explanations. NeurIPS 2021: 8954-8967 - [c95]Aaron Chan, Jiashu Xu, Boyuan Long, Soumya Sanyal, Tanishq Gupta, Xiang Ren:
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning. NeurIPS 2021: 18241-18255 - [c94]Xisen Jin, Arka Sadhu, Junyi Du, Xiang Ren:
Gradient-based Editing of Memory Examples for Online Task-free Continual Learning. NeurIPS 2021: 29193-29205 - [c93]Jane Yen, Tamás Lévai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan:
Semi-automated protocol disambiguation and code generation. SIGCOMM 2021: 272-286 - [c92]Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tür:
Commonsense-Focused Dialogues for Response Generation: An Empirical Study. SIGDIAL 2021: 121-132 - [c91]Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren:
Time-Series Event Prediction with Evolutionary State Graph. WSDM 2021: 580-588 - [i112]Bill Yuchen Lin, Ziyi Wu, Yichi Yang, Dong-Ho Lee, Xiang Ren:
RiddleSense: Answering Riddle Questions as Commonsense Reasoning. CoRR abs/2101.00376 (2021) - [i111]Qinyuan Ye, Xiang Ren:
Zero-shot Learning by Generating Task-specific Adapters. CoRR abs/2101.00420 (2021) - [i110]Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz:
Modality-specific Distillation. CoRR abs/2101.01881 (2021) - [i109]Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren:
Refining Neural Networks with Compositional Explanations. CoRR abs/2103.10415 (2021) - [i108]Julie Jiang, Xiang Ren, Emilio Ferrara:
Social media polarization and echo chambers: A case study of COVID-19. CoRR abs/2103.10979 (2021) - [i107]Ninareh Mehrabi, Pei Zhou, Fred Morstatter, Jay Pujara, Xiang Ren, Aram Galstyan:
Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources. CoRR abs/2103.11320 (2021) - [i106]Yuning Mao, Wenchang Ma, Deren Lei, Xiang Ren:
Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation. CoRR abs/2104.08724 (2021) - [i105]Mozhdeh Gheini, Xiang Ren, Jonathan May:
On the Strengths of Cross-Attention in Pretrained Transformers for Machine Translation. CoRR abs/2104.08771 (2021) - [i104]Aaron Chan, Soumya Sanyal, Boyuan Long, Jiashu Xu, Tanishq Gupta, Xiang Ren:
SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning. CoRR abs/2104.08793 (2021) - [i103]Xisen Jin, Mohammad Rostami, Xiang Ren:
Lifelong Learning of Few-shot Learners across NLP Tasks. CoRR abs/2104.08808 (2021) - [i102]Bill Yuchen Lin, Chaoyang He, Zihang Zeng, Hulin Wang, Yufen Huang, Mahdi Soltanolkotabi, Xiang Ren, Salman Avestimehr:
FedNLP: A Research Platform for Federated Learning in Natural Language Processing. CoRR abs/2104.08815 (2021) - [i101]Qinyuan Ye, Bill Yuchen Lin, Xiang Ren:
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. CoRR abs/2104.08835 (2021) - [i100]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
On the Influence of Masking Policies in Intermediate Pre-training. CoRR abs/2104.08840 (2021) - [i99]Pei Zhou, Pegah Jandaghi, Bill Yuchen Lin, Justin Cho, Jay Pujara, Xiang Ren:
Probing Causal Common Sense in Dialogue Response Generation. CoRR abs/2104.09574 (2021) - [i98]Meryem M'hamdi, Doo Soon Kim, Franck Dernoncourt, Trung Bui, Xiang Ren, Jonathan May:
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering. CoRR abs/2104.09696 (2021) - [i97]Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong:
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. CoRR abs/2106.02318 (2021) - [i96]Bill Yuchen Lin, Seyeon Lee, Xiaoyang Qiao, Xiang Ren:
Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning. CoRR abs/2106.06937 (2021) - [i95]Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren:
Do Language Models Perform Generalizable Commonsense Inference? CoRR abs/2106.11533 (2021) - [i94]Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy, Mohammad Atari, Xiang Ren, Morteza Dehghani:
Improving Counterfactual Generation for Fair Hate Speech Detection. CoRR abs/2108.01721 (2021) - [i93]Soumya Sanyal, Xiang Ren:
Discretized Integrated Gradients for Explaining Language Models. CoRR abs/2108.13654 (2021) - [i92]Dong-Ho Lee, Ravi Kiran Selvam, Sheikh Muhammad Sarwar, Bill Yuchen Lin, Mahak Agarwal, Fred Morstatter, Jay Pujara, Elizabeth Boschee, James Allan, Xiang Ren:
AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction. CoRR abs/2109.04726 (2021) - [i91]Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren:
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. CoRR abs/2109.05620 (2021) - [i90]Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur:
Commonsense-Focused Dialogues for Response Generation: An Empirical Study. CoRR abs/2109.06427 (2021) - [i89]Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng:
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. CoRR abs/2110.04330 (2021) - [i88]Dong-Ho Lee, Mahak Agarwal, Akshen Kadakia, Jay Pujara, Xiang Ren:
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NER. CoRR abs/2110.08454 (2021) - [i87]Woojeong Jin, Yu Cheng, Yelong Shen, Weizhu Chen, Xiang Ren:
A Good Prompt Is Worth Millions of Parameters? Low-resource Prompt-based Learning for Vision-Language Models. CoRR abs/2110.08484 (2021) - [i86]Pei Zhou, Karthik Gopalakrishnan, Behnam Hedayatnia, Seokhwan Kim, Jay Pujara, Xiang Ren, Yang Liu, Dilek Hakkani-Tur:
Think Before You Speak: Using Self-talk to Generate Implicit Commonsense Knowledge for Response Generation. CoRR abs/2110.08501 (2021) - [i85]Xisen Jin, Dejiao Zhang, Henghui Zhu, Wei Xiao, Shang-Wen Li, Xiaokai Wei, Andrew O. Arnold, Xiang Ren:
Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora. CoRR abs/2110.08534 (2021) - [i84]Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech:
Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. CoRR abs/2110.08536 (2021) - [i83]Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren:
On the Robustness of Reading Comprehension Models to Entity Renaming. CoRR abs/2110.08555 (2021) - [i82]Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren:
Contextualized Scene Imagination for Generative Commonsense Reasoning. CoRR abs/2112.06318 (2021) - [i81]Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz:
UniREx: A Unified Learning Framework for Language Model Rationale Extraction. CoRR abs/2112.08802 (2021) - 2020
- [j6]Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren:
Dynamic network embedding via incremental skip-gram with negative sampling. Sci. China Inf. Sci. 63(10): 1-19 (2020) - [c90]Ming-Chang Chiu, Tiantian Feng, Xiang Ren, Shrikanth Narayanan:
Screenplay Quality Assessment: Can We Predict Who Gets Nominated? NUSE@ACL 2020: 11-16 - [c89]Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren:
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. ACL (demo) 2020: 372-379 - [c88]Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren:
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. ACL 2020: 2134-2146 - [c87]Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Summarization. ACL 2020: 4941-4957 - [c86]Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren:
Contextualizing Hate Speech Classifiers with Post-hoc Explanation. ACL 2020: 5435-5442 - [c85]Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren:
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. ACL 2020: 8503-8511 - [c84]Bill Yuchen Lin, Ming Shen, Wangchunshu Zhou, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren:
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. AKBC 2020 - [c83]Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren:
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. ECAI 2020: 2156-2163 - [c82]Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren:
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. EMNLP (1) 2020: 1295-1309 - [c81]Qinyuan Ye, Xiao Huang, Elizabeth Boschee, Xiang Ren:
Teaching Machine Comprehension with Compositional Explanations. EMNLP (Findings) 2020: 1599-1615 - [c80]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. EMNLP (1) 2020: 1737-1751 - [c79]Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel A. McFarland, Xiang Ren:
Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora. EMNLP (Findings) 2020: 1746-1757 - [c78]Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi, Xiang Ren:
CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning. EMNLP (Findings) 2020: 1823-1840 - [c77]Xisen Jin, Junyi Du, Arka Sadhu, Ram Nevatia, Xiang Ren:
Visually Grounded Continual Learning of Compositional Phrases. EMNLP (1) 2020: 2018-2029 - [c76]Peifeng Wang, Nanyun Peng, Filip Ilievski, Pedro A. Szekely, Xiang Ren:
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. EMNLP (Findings) 2020: 4129-4140 - [c75]Woojeong Jin, Meng Qu, Xisen Jin, Xiang Ren:
Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs. EMNLP (1) 2020: 6669-6683 - [c74]Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren:
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models. EMNLP (1) 2020: 6862-6868 - [c73]Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han:
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. EMNLP (1) 2020: 8292-8307 - [c72]Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren:
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. EMNLP (1) 2020: 8541-8547 - [c71]Xisen Jin, Zhongyu Wei, Junyi Du, Xiangyang Xue, Xiang Ren:
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models. ICLR 2020 - [c70]Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren:
Learning from Explanations with Neural Execution Tree. ICLR 2020 - [c69]Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren:
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution. IJCAI 2020: 2785-2791 - [c68]Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren:
Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training. IJCAI 2020: 3898-3904 - [c67]Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren:
NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. WWW 2020: 2166-2176 - [i80]Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren:
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution. CoRR abs/2003.03919 (2020) - [i79]Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren:
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. CoRR abs/2003.10388 (2020) - [i78]Bill Yuchen Lin, Dong-Ho Lee, Ming Shen, Ryan Moreno, Xiao Huang, Prashant Shiralkar, Xiang Ren:
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition. CoRR abs/2004.07493 (2020) - [i77]Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren:
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. CoRR abs/2004.07499 (2020) - [i76]Deren Lei, Gangrong Jiang, Xiaotao Gu, Kexuan Sun, Yuning Mao, Xiang Ren:
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning. CoRR abs/2005.00571 (2020) - [i75]Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren:
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. CoRR abs/2005.00646 (2020) - [i74]Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, Xiang Ren:
Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-trained Language Models. CoRR abs/2005.00683 (2020) - [i73]Peifeng Wang, Nanyun Peng, Pedro A. Szekely, Xiang Ren:
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. CoRR abs/2005.00691 (2020) - [i72]Pei Zhou, Rahul Khanna, Bill Yuchen Lin, Daniel Ho, Xiang Ren, Jay Pujara:
Can BERT Reason? Logically Equivalent Probes for Evaluating the Inference Capabilities of Language Models. CoRR abs/2005.00782 (2020) - [i71]Xisen Jin, Junyi Du, Xiang Ren:
Visually Grounded Continual Learning of Compositional Semantics. CoRR abs/2005.00785 (2020) - [i70]Woojeong Jin, Suji Kim, Xiang Ren:
ForecastQA: Machine Comprehension of Temporal Text for Answering Forecasting Questions. CoRR abs/2005.00792 (2020) - [i69]Qinyuan Ye, Xiao Huang, Xiang Ren:
Teaching Machine Comprehension with Compositional Explanations. CoRR abs/2005.00806 (2020) - [i68]Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren:
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. CoRR abs/2005.02178 (2020) - [i67]Brendan Kennedy, Xisen Jin, Aida Mostafazadeh Davani, Morteza Dehghani, Xiang Ren:
Contextualizing Hate Speech Classifiers with Post-hoc Explanation. CoRR abs/2005.02439 (2020) - [i66]Ming-Chang Chiu, Tiantian Feng, Xiang Ren, Shrikanth Narayanan:
Screenplay Quality Assessment: Can We Predict Who Gets Nominated? CoRR abs/2005.06123 (2020) - [i65]Xisen Jin, Junyi Du, Xiang Ren:
Gradient Based Memory Editing for Task-Free Continual Learning. CoRR abs/2006.15294 (2020) - [i64]Siliang Tang, Qi Zhang, Tianpeng Zheng, Mengdi Zhou, Zhan Chen, Lixing Shen, Xiang Ren, Yueting Zhuang, Shiliang Pu, Fei Wu:
Two Step Joint Model for Drug Drug Interaction Extraction. CoRR abs/2008.12704 (2020) - [i63]Jiaming Shen, Wenda Qiu, Jingbo Shang, Michelle Vanni, Xiang Ren, Jiawei Han:
SynSetExpan: An Iterative Framework for Joint Entity Set Expansion and Synonym Discovery. CoRR abs/2009.13827 (2020) - [i62]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. CoRR abs/2010.00117 (2020) - [i61]Jane Yen, Tamás Lévai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan:
Semi-Automated Protocol Disambiguation and Code Generation. CoRR abs/2010.04801 (2020) - [i60]Hancheng Cao, Mengjie Cheng, Zhepeng Cen, Daniel A. McFarland, Xiang Ren:
Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora. CoRR abs/2010.06657 (2020) - [i59]Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan:
One-shot Learning for Temporal Knowledge Graphs. CoRR abs/2010.12144 (2020) - [i58]Yuning Mao, Xiang Ren, Heng Ji, Jiawei Han:
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation. CoRR abs/2010.12723 (2020) - [i57]Aida Mostafazadeh Davani, Ali Omrani, Brendan Kennedy, Mohammad Atari, Xiang Ren, Morteza Dehghani:
Fair Hate Speech Detection through Evaluation of Social Group Counterfactuals. CoRR abs/2010.12779 (2020) - [i56]Xisen Jin, Francesco Barbieri, Aida Mostafazadeh Davani, Brendan Kennedy, Leonardo Neves, Xiang Ren:
Efficiently Mitigating Classification Bias via Transfer Learning. CoRR abs/2010.12864 (2020) - [i55]Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR abs/2010.12872 (2020) - [i54]Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. CoRR abs/2010.12873 (2020) - [i53]Bill Yuchen Lin, Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Xiang Ren, William W. Cohen:
Differentiable Open-Ended Commonsense Reasoning. CoRR abs/2010.14439 (2020) - [i52]Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Bill Yuchen Lin, Xiang Ren:
Pre-training Text-to-Text Transformers for Concept-centric Common Sense. CoRR abs/2011.07956 (2020) - [i51]Rujun Han, Xiang Ren, Nanyun Peng:
DEER: A Data Efficient Language Model for Event Temporal Reasoning. CoRR abs/2012.15283 (2020) - [i50]Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa:
Studying Strategically: Learning to Mask for Closed-book QA. CoRR abs/2012.15856 (2020)
2010 – 2019
- 2019
- [j5]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type biomedical named entity recognition with deep multi-task learning. Bioinform. 35(10): 1745-1752 (2019) - [c66]Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. AAAI 2019: 249-256 - [c65]Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-Relation Cross-Bag Attention for Distantly-Supervised Relation Extraction. AAAI 2019: 419-426 - [c64]Bill Yuchen Lin, Dong-Ho Lee, Frank F. Xu, Ouyu Lan, Xiang Ren:
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging. ACL (3) 2019: 58-63 - [c63]Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Zhigang Chen, Guoping Hu, Yueting Zhuang, Fei Wu, Xiang Ren:
KCAT: A Knowledge-Constraint Typing Annotation Tool. ACL (3) 2019: 99-104 - [c62]Junyi Du, He Jiang, Jiaming Shen, Xiang Ren:
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis. ACL (1) 2019: 4280-4291 - [c61]Xuan Wang, Yu Zhang, Qi Li, Xiang Ren, Jingbo Shang, Jiawei Han:
Distantly Supervised Biomedical Named Entity Recognition with Dictionary Expansion. BIBM 2019: 496-503 - [c60]Hyungsul Kim, Ahmed El-Kishky, Xiang Ren, Jiawei Han:
Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach. IEEE BigData 2019: 105-114 - [c59]Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren:
Learning Dynamic Context Augmentation for Global Entity Linking. EMNLP/IJCNLP (1) 2019: 271-281 - [c58]Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren:
Hierarchical Text Classification with Reinforced Label Assignment. EMNLP/IJCNLP (1) 2019: 445-455 - [c57]Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren:
Collaborative Policy Learning for Open Knowledge Graph Reasoning. EMNLP/IJCNLP (1) 2019: 2672-2681 - [c56]Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren:
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. EMNLP/IJCNLP (1) 2019: 2829-2839 - [c55]Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren:
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. EMNLP/IJCNLP (1) 2019: 3839-3848 - [c54]Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo-Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani:
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes. EMNLP/IJCNLP (1) 2019: 5752-5756 - [c53]Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, Xiang Ren:
HMEAE: Hierarchical Modular Event Argument Extraction. EMNLP/IJCNLP (1) 2019: 5776-5782 - [c52]Cong Fu, Yonghui Zhang, Deng Cai, Xiang Ren:
AtSNE: Efficient and Robust Visualization on GPU through Hierarchical Optimization. KDD 2019: 176-186 - [c51]Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren:
Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat. KDD 2019: 2023-2031 - [c50]Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang:
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision. NAACL-HLT (1) 2019: 2831-2835 - [c49]Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang, Xiang Ren:
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering. NAACL-HLT (1) 2019: 2862-2872 - [c48]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. WSDM 2019: 42-50 - [c47]Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren:
Learning Dual Retrieval Module for Semi-supervised Relation Extraction. WWW 2019: 1073-1083 - [c46]Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, Xiang Ren:
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. WWW 2019: 1210-1221 - [e2]Colin Cherry, Greg Durrett, George F. Foster, Reza Haffari, Shahram Khadivi, Nanyun Peng, Xiang Ren, Swabha Swayamdipta:
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, DeepLo@EMNLP-IJCNLP 2019, Hong Kong, China, November 3, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-78-9 [contents] - [e1]Isabelle Augenstein, Spandana Gella, Sebastian Ruder, Katharina Kann, Burcu Can, Johannes Welbl, Alexis Conneau, Xiang Ren, Marek Rei:
Proceedings of the 4th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2019, Florence, Italy, August 2, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-35-2 [contents] - [i49]Yufeng Hu, Haochen Shi, Tao Chen, Siliang Tang, Quan Liu, Zhigang Chen, Xiang Ren, Fei Wu, Yueting Zhuang:
The ZJU-EDL System for Entity Discovery and Linking at TAC KBP 2019. TAC 2019 - [i48]Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren:
Learning Dual Retrieval Module for Semi-supervised Relation Extraction. CoRR abs/1902.07814 (2019) - [i47]Weizhi Ma, Min Zhang, Yue Cao, Woojeong Jin, Chenyang Wang, Yiqun Liu, Shaoping Ma, Xiang Ren:
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. CoRR abs/1903.03714 (2019) - [i46]Woojeong Jin, Changlin Zhang, Pedro A. Szekely, Xiang Ren:
Recurrent Event Network for Reasoning over Temporal Knowledge Graphs. CoRR abs/1904.05530 (2019) - [i45]Bo Chen, Xiaotao Gu, Yufeng Hu, Siliang Tang, Guoping Hu, Yueting Zhuang, Xiang Ren:
Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering. CoRR abs/1904.06475 (2019) - [i44]Qi Zhang, Siliang Tang, Xiang Ren, Fei Wu, Shiliang Pu, Yueting Zhuang:
Posterior-regularized REINFORCE for Instance Selection in Distant Supervision. CoRR abs/1904.08051 (2019) - [i43]Maosen Zhang, Qinyuan Ye, Liyuan Liu, Xiang Ren:
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. CoRR abs/1904.09331 (2019) - [i42]Wenjie Hu, Yang Yang, Zilong You, Zongtao Liu, Xiang Ren:
Modeling Combinatorial Evolution in Time Series Prediction. CoRR abs/1905.05006 (2019) - [i41]Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren:
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling. CoRR abs/1906.03586 (2019) - [i40]Sheng Lin, Luye Zheng, Bo Chen, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren:
KCAT: A Knowledge-Constraint Typing Annotation Tool. CoRR abs/1906.05670 (2019) - [i39]Junyi Du, He Jiang, Jiaming Shen, Xiang Ren:
Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis. CoRR abs/1906.11384 (2019) - [i38]Chaoyang He, Tian Xie, Yu Rong, Wen-bing Huang, Junzhou Huang, Xiang Ren, Cyrus Shahabi:
Adversarial Representation Learning on Large-Scale Bipartite Graphs. CoRR abs/1906.11994 (2019) - [i37]Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han:
Raw-to-End Name Entity Recognition in Social Media. CoRR abs/1908.05344 (2019) - [i36]Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han:
Facet-Aware Evaluation for Extractive Text Summarization. CoRR abs/1908.10383 (2019) - [i35]Yuning Mao, Jingjing Tian, Jiawei Han, Xiang Ren:
Hierarchical Text Classification with Reinforced Label Assignment. CoRR abs/1908.10419 (2019) - [i34]Cong Fu, Tong Chen, Meng Qu, Woojeong Jin, Xiang Ren:
Collaborative Policy Learning for Open Knowledge Graph Reasoning. CoRR abs/1909.00230 (2019) - [i33]Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang, Yueting Zhuang, Fei Wu, Zhigang Chen, Guoping Hu, Xiang Ren:
Learning Dynamic Context Augmentation for Global Entity Linking. CoRR abs/1909.02117 (2019) - [i32]Aida Mostafazadeh Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo-Wightman, Elaine Gonzalez, Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani:
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes. CoRR abs/1909.02126 (2019) - [i31]Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren:
KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning. CoRR abs/1909.02151 (2019) - [i30]Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren:
Neural Rule Grounding for Low-Resource Relation Extraction. CoRR abs/1909.02177 (2019) - [i29]Ouyu Lan, Xiao Huang, Bill Yuchen Lin, He Jiang, Liyuan Liu, Xiang Ren:
Learning to Contextually Aggregate Multi-Source Supervision for Sequence Labeling. CoRR abs/1910.04289 (2019) - [i28]Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han:
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. CoRR abs/1910.08192 (2019) - [i27]Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han:
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. CoRR abs/1910.08194 (2019) - [i26]Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren:
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations. CoRR abs/1911.01352 (2019) - [i25]Bill Yuchen Lin, Ming Shen, Yu Xing, Pei Zhou, Xiang Ren:
CommonGen: A Constrained Text Generation Dataset Towards Generative Commonsense Reasoning. CoRR abs/1911.03705 (2019) - [i24]Xisen Jin, Junyi Du, Zhongyu Wei, Xiangyang Xue, Xiang Ren:
Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models. CoRR abs/1911.06194 (2019) - [i23]Hyungsul Kim, Ahmed El-Kishky, Xiang Ren, Jiawei Han:
Mining News Events from Comparable News Corpora: A Multi-Attribute Proximity Network Modeling Approach. CoRR abs/1911.06407 (2019) - 2018
- [b1]Xiang Ren, Jiawei Han:
Mining Structures of Factual Knowledge from Text: An Effort-Light Approach. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00784-2 - [j4]Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han:
Automated Phrase Mining from Massive Text Corpora. IEEE Trans. Knowl. Data Eng. 30(10): 1825-1837 (2018) - [c45]Le-kui Zhou, Yang Yang, Xiang Ren, Fei Wu, Yueting Zhuang:
Dynamic Network Embedding by Modeling Triadic Closure Process. AAAI 2018: 571-578 - [c44]Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. AAAI 2018: 5253-5260 - [c43]Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han:
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. ACL (1) 2018: 2462-2472 - [c42]Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, Jiawei Han:
Open-Schema Event Profiling for Massive News Corpora. CIKM 2018: 587-596 - [c41]Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. EMNLP 2018: 1215-1225 - [c40]Jingbo Shang, Liyuan Liu, Xiaotao Gu, Xiang Ren, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. EMNLP 2018: 2054-2064 - [c39]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models. ICML 2018: 5694-5703 - [c38]Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han:
HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion. KDD 2018: 2180-2189 - [c37]Xiang Ren, Nanyun Peng, William Yang Wang:
Scalable Construction and Reasoning of Massive Knowledge Bases. NAACL-HLT (Tutorial Abstracts) 2018: 10-16 - [c36]Zhitao Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. NeurIPS 2018: 4805-4815 - [c35]Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han:
Indirect Supervision for Relation Extraction using Question-Answer Pairs. WSDM 2018: 646-654 - [c34]Xiang Ren, Craig A. Knoblock, William Yang Wang, Yu Su:
First Workshop on Knowledge Base Construction, Mining and Reasoning. WSDM 2018: 793-794 - [c33]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Open Information Extraction with Global Structure Constraints. WWW (Companion Volume) 2018: 57-58 - [c32]Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han:
Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning. WWW 2018: 1257-1266 - [i22]Siliang Tang, Qi Zhang, Tianpeng Zheng, Mengdi Zhou, Zhan Chen, Lixing Shen, Xiang Ren, Yueting Zhuang, Shiliang Pu, Fei Wu:
Two Step Joint Model for Drug Drug Interaction Extraction. TAC 2018 - [i21]Xuan Wang, Yu Zhang, Xiang Ren, Yuhao Zhang, Marinka Zitnik, Jingbo Shang, Curtis P. Langlotz, Jiawei Han:
Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning. CoRR abs/1801.09851 (2018) - [i20]Jiaxuan You, Rex Ying, Xiang Ren, William L. Hamilton, Jure Leskovec:
GraphRNN: A Deep Generative Model for Graphs. CoRR abs/1802.08773 (2018) - [i19]Liyuan Liu, Xiang Ren, Jingbo Shang, Jian Peng, Jiawei Han:
Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling. CoRR abs/1804.07827 (2018) - [i18]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. CoRR abs/1804.09931 (2018) - [i17]Yuning Mao, Xiang Ren, Jiaming Shen, Xiaotao Gu, Jiawei Han:
End-to-End Reinforcement Learning for Automatic Taxonomy Induction. CoRR abs/1805.04044 (2018) - [i16]Rex Ying, Jiaxuan You, Christopher Morris, Xiang Ren, William L. Hamilton, Jure Leskovec:
Hierarchical Graph Representation Learning with Differentiable Pooling. CoRR abs/1806.08804 (2018) - [i15]Jingbo Shang, Liyuan Liu, Xiang Ren, Xiaotao Gu, Teng Ren, Jiawei Han:
Learning Named Entity Tagger using Domain-Specific Dictionary. CoRR abs/1809.03599 (2018) - [i14]Jiaming Shen, Ruiliang Lyu, Xiang Ren, Michelle Vanni, Brian M. Sadler, Jiawei Han:
Mining Entity Synonyms with Efficient Neural Set Generation. CoRR abs/1811.07032 (2018) - [i13]Yujin Yuan, Liyuan Liu, Siliang Tang, Zhongfei Zhang, Yueting Zhuang, Shiliang Pu, Fei Wu, Xiang Ren:
Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction. CoRR abs/1812.10604 (2018) - 2017
- [j3]Lifu Huang, Jonathan May, Xiaoman Pan, Heng Ji, Xiang Ren, Jiawei Han, Lin Zhao, James A. Hendler:
Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems. Big Data 5(1): 19-31 (2017) - [c31]Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han:
Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. ACL (System Demonstrations) 2017: 55-60 - [c30]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CIKM 2017: 1767-1776 - [c29]Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han:
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. EMNLP 2017: 46-56 - [c28]Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. KDD 2017: 877-886 - [c27]Meng Qu, Xiang Ren, Jiawei Han:
Automatic Synonym Discovery with Knowledge Bases. KDD 2017: 997-1005 - [c26]Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han:
SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble. ECML/PKDD (1) 2017: 288-304 - [c25]Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han:
Building Structured Databases of Factual Knowledge from Massive Text Corpora. SIGMOD Conference 2017: 1741-1745 - [c24]Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han:
Comparative Document Analysis for Large Text Corpora. WSDM 2017: 325-334 - [c23]Yizhou Sun, Hongzhi Yin, Xiang Ren:
Recommendation in Context-Rich Environment: An Information Network Analysis Approach. WWW (Companion Volume) 2017: 941-945 - [c22]Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han:
Constructing Structured Information Networks from Massive Text Corpora. WWW (Companion Volume) 2017: 951-954 - [c21]Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han:
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. WWW 2017: 1015-1024 - [i12]Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R. Voss, Jiawei Han:
Automated Phrase Mining from Massive Text Corpora. CoRR abs/1702.04457 (2017) - [i11]Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han:
MetaPAD: Meta Pattern Discovery from Massive Text Corpora. CoRR abs/1703.04213 (2017) - [i10]Meng Qu, Xiang Ren, Jiawei Han:
Automatic Synonym Discovery with Knowledge Bases. CoRR abs/1706.08186 (2017) - [i9]Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han:
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. CoRR abs/1707.00166 (2017) - [i8]Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. CoRR abs/1709.04109 (2017) - [i7]Meng Qu, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han:
An Attention-based Collaboration Framework for Multi-View Network Representation Learning. CoRR abs/1709.06636 (2017) - [i6]Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han:
Indirect Supervision for Relation Extraction using Question-Answer Pairs. CoRR abs/1710.11169 (2017) - [i5]Meng Qu, Xiang Ren, Yu Zhang, Jiawei Han:
Overcoming Limited Supervision in Relation Extraction: A Pattern-enhanced Distributional Representation Approach. CoRR abs/1711.03226 (2017) - 2016
- [j2]Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma:
Texture Repairing by Unified Low Rank Optimization. J. Comput. Sci. Technol. 31(3): 525-546 (2016) - [c20]Lingxiao Wang, Xiang Ren, Quanquan Gu:
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates. AISTATS 2016: 177-185 - [c19]Tarique Siddiqui, Xiang Ren, Aditya G. Parameswaran, Jiawei Han:
FacetGist: Collective Extraction of Document Facets in Large Technical Corpora. CIKM 2016: 871-880 - [c18]Xiang Ren, Wenqi He, Meng Qu, Lifu Huang, Heng Ji, Jiawei Han:
AFET: Automatic Fine-Grained Entity Typing by Hierarchical Partial-Label Embedding. EMNLP 2016: 1369-1378 - [c17]Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han:
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. KDD 2016: 1825-1834 - [c16]Di Lu, Clare R. Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-Fu Chang, Jiawei Han, William A. Wallace, James A. Hendler, Mei Si, Lance M. Kaplan:
Cross-media Event Extraction and Recommendation. HLT-NAACL Demos 2016: 72-76 - [c15]Xiang Ren, Ahmed El-Kishky, Heng Ji, Jiawei Han:
Automatic Entity Recognition and Typing in Massive Text Data. SIGMOD Conference 2016: 2235-2239 - [c14]Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han:
Automatic Entity Recognition and Typing in Massive Text Corpora. WWW (Companion Volume) 2016: 1025-1028 - [c13]Jialu Liu, Xiang Ren, Jingbo Shang, Taylor Cassidy, Clare R. Voss, Jiawei Han:
Representing Documents via Latent Keyphrase Inference. WWW 2016: 1057-1067 - [i4]Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han:
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding. CoRR abs/1602.05307 (2016) - [i3]Xiang Ren, Zeqiu Wu, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Tarek F. Abdelzaher, Jiawei Han:
CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases. CoRR abs/1610.08763 (2016) - 2015
- [c12]Xiang Ren, Ahmed El-Kishky, Chi Wang, Fangbo Tao, Clare R. Voss, Jiawei Han:
ClusType: Effective Entity Recognition and Typing by Relation Phrase-Based Clustering. KDD 2015: 995-1004 - [c11]Xiang Ren, Ahmed El-Kishky, Chi Wang, Jiawei Han:
Automatic Entity Recognition and Typing from Massive Text Corpora: A Phrase and Network Mining Approach. KDD 2015: 2319-2320 - [c10]Jialu Liu, Jingbo Shang, Chi Wang, Xiang Ren, Jiawei Han:
Mining Quality Phrases from Massive Text Corpora. SIGMOD Conference 2015: 1729-1744 - [c9]Xiang Ren, Tao Cheng:
Synonym Discovery for Structured Entities on Heterogeneous Graphs. WWW (Companion Volume) 2015: 443-453 - [i2]Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han:
Comparative Document Analysis for Large Text Corpora. CoRR abs/1510.07197 (2015) - 2014
- [c8]Xiang Ren, Jialu Liu, Xiao Yu, Urvashi Khandelwal, Quanquan Gu, Lidan Wang, Jiawei Han:
ClusCite: effective citation recommendation by information network-based clustering. KDD 2014: 821-830 - [c7]Marina Danilevsky, Chi Wang, Nihit Desai, Xiang Ren, Jingyi Guo, Jiawei Han:
Automatic Construction and Ranking of Topical Keyphrases on Collections of Short Documents. SDM 2014: 398-406 - [c6]Fangbo Tao, George Brova, Jiawei Han, Heng Ji, Chi Wang, Brandon Norick, Ahmed El-Kishky, Jialu Liu, Xiang Ren, Yizhou Sun:
NewsNetExplorer: automatic construction and exploration of news information networks. SIGMOD Conference 2014: 1091-1094 - [c5]Xiang Ren, Yujing Wang, Xiao Yu, Jun Yan, Zheng Chen, Jiawei Han:
Heterogeneous graph-based intent learning with queries, web pages and Wikipedia concepts. WSDM 2014: 23-32 - [c4]Xiao Yu, Xiang Ren, Yizhou Sun, Quanquan Gu, Bradley Sturt, Urvashi Khandelwal, Brandon Norick, Jiawei Han:
Personalized entity recommendation: a heterogeneous information network approach. WSDM 2014: 283-292 - 2013
- [j1]Xiang Ren, Zhouchen Lin:
Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures. Int. J. Comput. Vis. 104(1): 1-14 (2013) - [c3]Hyungsul Kim, Xiang Ren, Yizhou Sun, Chi Wang, Jiawei Han:
Semantic Frame-Based Document Representation for Comparable Corpora. ICDM 2013: 350-359 - [c2]Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han:
Recommendation in heterogeneous information networks with implicit user feedback. RecSys 2013: 347-350 - 2012
- [c1]Xiao Liang, Xiang Ren, Zhengdong Zhang, Yi Ma:
Repairing Sparse Low-Rank Texture. ECCV (5) 2012: 482-495 - [i1]Xiang Ren, Zhouchen Lin:
Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures. CoRR abs/1205.5351 (2012)
Coauthor Index
[c108] [c98] [c87] [c80] [c73] [i63] [i62] [i58] [j5] [c66] [c61] [c60] [c58] [c48] [i37] [i36] [i35] [i28] [i27] [i23] [b1] [j4] [c44] [c43] [c42] [c41] [c40] [c38] [c35] [c33] [c32] [i21] [i19] [i18] [i17] [i15] [i14] [j3] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c22] [c21] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [i4] [i3] [c12] [c11] [c10] [i2] [c8] [c7] [c6] [c5] [c4] [c3] [c2]
Bill Y. Lin
aka: Bill Yuchen Lin
aka: Bill Yuchen Lin
[i164] [j8] [c168] [c156] [c155] [c154] [c148] [c147] [c146] [i149] [i148] [i147] [i145] [c145] [c139] [c133] [c129] [c128] [c125] [i136] [i135] [i128] [i124] [i119] [i113] [c123] [c121] [c120] [c114] [c111] [c110] [c106] [c104] [c97] [i112] [i102] [i101] [i99] [i96] [i92] [i91] [i83] [c89] [c88] [c85] [c84] [c82] [c78] [c74] [c67] [i78] [i77] [i75] [i74] [i72] [i68] [i53] [i52] [c64] [c56] [i31] [i29] [i25]
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