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2020 – today
- 2024
[c69]Syeda Nahida Akter, Sangwu Lee, Yingshan Chang, Yonatan Bisk, Eric Nyberg:
VISREAS: Complex Visual Reasoning with Unanswerable Questions. ACL (Findings) 2024: 6735-6752- [c68]Ruiyi Wang, Haofei Yu, Wenxin Sharon Zhang, Zhengyang Qi, Maarten Sap, Yonatan Bisk, Graham Neubig, Hao Zhu:
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents. ACL (1) 2024: 12912-12940 - [c67]Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran:
OpenEQA: Embodied Question Answering in the Era of Foundation Models. CVPR 2024: 16488-16498 - [c66]Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel:
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. EMNLP (Findings) 2024: 13060-13077 - [c65]Jimin Sun, So Yeon Min, Yingshan Chang, Yonatan Bisk:
Tools Fail: Detecting Silent Errors in Faulty Tools. EMNLP 2024: 14272-14289 - [c64]Jared Fernandez, Yonatan Bisk, Emma Strubell:
Gradient Localization Improves Lifelong Pretraining of Language Models. EMNLP (Findings) 2024: 16188-16195 - [c63]Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap:
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. ICLR 2024 - [c62]Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig:
WebArena: A Realistic Web Environment for Building Autonomous Agents. ICLR 2024 - [c61]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c60]Gyan Tatiya, Jonathan Francis, Ho-Hsiang Wu, Yonatan Bisk, Jivko Sinapov:
MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception. ICRA 2024: 15381-15387 - [i77]Ruiyi Wang, Haofei Yu, Wenxin Sharon Zhang, Zhengyang Qi, Maarten Sap, Graham Neubig, Yonatan Bisk, Hao Zhu:
SOTOPIA-π: Interactive Learning of Socially Intelligent Language Agents. CoRR abs/2403.08715 (2024) - [i76]Syeda Nahida Akter, Sangwu Lee, Yingshan Chang, Yonatan Bisk, Eric Nyberg:
VISREAS: Complex Visual Reasoning with Unanswerable Questions. CoRR abs/2403.10534 (2024) - [i75]Vidhi Jain, Maria Attarian, Nikhil J. Joshi, Ayzaan Wahid, Danny Driess, Quan Vuong, Pannag R. Sanketi, Pierre Sermanet, Stefan Welker, Christine Chan, Igor Gilitschenski, Yonatan Bisk, Debidatta Dwibedi:
Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers. CoRR abs/2403.12943 (2024) - [i74]Yingshan Chang, Yasi Zhang, Zhiyuan Fang, Yingnian Wu, Yonatan Bisk, Feng Gao:
Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation. CoRR abs/2403.16394 (2024) - [i73]Casey Kennington, Malihe Alikhani, Heather Pon-Barry, Katherine Atwell, Yonatan Bisk, Daniel Fried, Felix Gervits, Zhao Han, Mert Inan, Michael Johnston, Raj Korpan, Diane J. Litman, Matthew Marge, Cynthia Matuszek, Ross Mead, Shiwali Mohan, Raymond J. Mooney, Natalie Parde, Jivko Sinapov, Angela Stewart, Matthew Stone, Stefanie Tellex, Tom Williams:
Dialogue with Robots: Proposals for Broadening Participation and Research in the SLIVAR Community. CoRR abs/2404.01158 (2024) - [i72]Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang:
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. CoRR abs/2404.01258 (2024) - [i71]Yue Wu, Yewen Fan, So Yeon Min, Shrimai Prabhumoye, Stephen McAleer, Yonatan Bisk, Ruslan Salakhutdinov, Yuanzhi Li, Tom M. Mitchell:
AgentKit: Flow Engineering with Graphs, not Coding. CoRR abs/2404.11483 (2024) - [i70]Yingshan Chang, Yonatan Bisk:
Language Models Need Inductive Biases to Count Inductively. CoRR abs/2405.20131 (2024) - [i69]Shaurya Dewan, Rushikesh Zawar, Prakanshul Saxena, Yingshan Chang, Andrew Luo, Yonatan Bisk:
DiffusionPID: Interpreting Diffusion via Partial Information Decomposition. CoRR abs/2406.05191 (2024) - [i68]Jimin Sun, So Yeon Min, Yingshan Chang, Yonatan Bisk:
Tools Fail: Detecting Silent Errors in Faulty Tools. CoRR abs/2406.19228 (2024) - [i67]Jaeyoung Lee, Ximing Lu, Jack Hessel, Faeze Brahman, Youngjae Yu, Yonatan Bisk, Yejin Choi, Saadia Gabriel:
How to Train Your Fact Verifier: Knowledge Transfer with Multimodal Open Models. CoRR abs/2407.00369 (2024) - [i66]Sriram Yenamandra, Arun Ramachandran, Mukul Khanna, Karmesh Yadav, Jay Vakil, Andrew Melnik, Michael Büttner, Leon Harz, Lyon Brown, Gora Chand Nandi, Arjun P. S, Gaurav Kumar Yadav, Rahul Kala, Robert Haschke, Yang Luo, Jinxin Zhu, Yansen Han, Bingyi Lu, Xuan Gu, Qinyuan Liu, Yaping Zhao, Qiting Ye, Chenxiao Dou, Yansong Chua, Volodymyr Kuzma, Vladyslav Humennyy, Ruslan Partsey, Jonathan Francis, Devendra Singh Chaplot, Gunjan Chhablani, Alexander Clegg, Théophile Gervet, Vidhi Jain, Ram Ramrakhya, Andrew Szot, Austin S. Wang, Tsung-Yen Yang, Aaron Edsinger, Charles C. Kemp, Binit Shah, Zsolt Kira, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton:
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. CoRR abs/2407.06939 (2024) - [i65]Benjamin A. Newman, Pranay Gupta, Kris Kitani, Yonatan Bisk, Henny Admoni, Christopher Jason Paxton:
DegustaBot: Zero-Shot Visual Preference Estimation for Personalized Multi-Object Rearrangement. CoRR abs/2407.08876 (2024) - [i64]So Yeon Min, Xavier Puig, Devendra Singh Chaplot, Tsung-Yen Yang, Akshara Rai, Priyam Parashar, Ruslan Salakhutdinov, Yonatan Bisk, Roozbeh Mottaghi:
Situated Instruction Following. CoRR abs/2407.12061 (2024) - [i63]Minyoung Hwang, Joey Hejna, Dorsa Sadigh, Yonatan Bisk:
MotIF: Motion Instruction Fine-tuning. CoRR abs/2409.10683 (2024) - [i62]Quanting Xie, So Yeon Min, Tianyi Zhang, Aarav Bajaj, Ruslan Salakhutdinov, Matthew Johnson-Roberson, Yonatan Bisk:
Embodied-RAG: General non-parametric Embodied Memory for Retrieval and Generation. CoRR abs/2409.18313 (2024) - 2023
- [j3]Liangke Gui, Yingshan Chang, Qiuyuan Huang, Subhojit Som, Alexander G. Hauptmann, Jianfeng Gao, Yonatan Bisk:
Training Vision-Language Transformers from Captions. Trans. Mach. Learn. Res. 2023 (2023) - [c59]Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton:
HomeRobot: Open-Vocabulary Mobile Manipulation. CoRL 2023: 1975-2011 - [c58]Priyam Parashar, Vidhi Jain, Xiaohan Zhang, Jay Vakil, Sam Powers, Yonatan Bisk, Chris Paxton:
SLAP: Spatial-Language Attention Policies. CoRL 2023: 3571-3596 - [c57]Hao Zhu, Raghav Kapoor, So Yeon Min, Winson Han, Jiatai Li, Kaiwen Geng, Graham Neubig, Yonatan Bisk, Aniruddha Kembhavi, Luca Weihs:
EXCALIBUR: Encouraging and Evaluating Embodied Exploration. CVPR 2023: 14931-14942 - [c56]Jared Fernandez, Jacob Kahn, Clara Na
, Yonatan Bisk, Emma Strubell:
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment. EMNLP 2023: 1588-1600 - [c55]Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, Graham Neubig:
Computational Language Acquisition with Theory of Mind. ICLR 2023 - [c54]So Yeon Min, Yao-Hung Hubert Tsai, Wei Ding, Ali Farhadi, Ruslan Salakhutdinov, Yonatan Bisk, Jian Zhang:
Self-Supervised Object Goal Navigation with In-Situ Finetuning. IROS 2023: 7119-7126 - [c53]Yue Wu, So Yeon Min, Shrimai Prabhumoye, Yonatan Bisk, Russ Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li:
SPRING: Studying Papers and Reasoning to play Games. NeurIPS 2023 - [c52]Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin P. Murphy, Alexander G. Hauptmann, Lu Jiang:
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. NeurIPS 2023 - [i61]Jared Fernandez, Jacob Kahn, Clara Na, Yonatan Bisk, Emma Strubell:
The Framework Tax: Disparities Between Inference Efficiency in Research and Deployment. CoRR abs/2302.06117 (2023) - [i60]Andy Liu, Hao Zhu, Emmy Liu, Yonatan Bisk, Graham Neubig:
Computational Language Acquisition with Theory of Mind. CoRR abs/2303.01502 (2023) - [i59]Yue Wu, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Yuanzhi Li, Tom M. Mitchell, Shrimai Prabhumoye:
Plan, Eliminate, and Track - Language Models are Good Teachers for Embodied Agents. CoRR abs/2305.02412 (2023) - [i58]Yue Wu, Shrimai Prabhumoye, So Yeon Min, Yonatan Bisk, Ruslan Salakhutdinov, Amos Azaria, Tom M. Mitchell, Yuanzhi Li:
SPRING: GPT-4 Out-performs RL Algorithms by Studying Papers and Reasoning. CoRR abs/2305.15486 (2023) - [i57]Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander William Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton:
HomeRobot: Open-Vocabulary Mobile Manipulation. CoRR abs/2306.11565 (2023) - [i56]Lijun Yu, Yong Cheng, Zhiruo Wang, Vivek Kumar, Wolfgang Macherey, Yanping Huang, David A. Ross, Irfan Essa, Yonatan Bisk, Ming-Hsuan Yang, Kevin Murphy, Alexander G. Hauptmann, Lu Jiang:
SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs. CoRR abs/2306.17842 (2023) - [i55]Vidhi Jain, Jayant Sravan Tamarapalli, Sahiti Yerramilli, Yonatan Bisk:
MAEA: Multimodal Attribution for Embodied AI. CoRR abs/2307.13850 (2023) - [i54]Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig:
WebArena: A Realistic Web Environment for Building Autonomous Agents. CoRR abs/2307.13854 (2023) - [i53]Gyan Tatiya, Jonathan Francis, Ho-Hsiang Wu, Yonatan Bisk, Jivko Sinapov:
MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Perception. CoRR abs/2309.08508 (2023) - [i52]Quanting Xie, Tianyi Zhang, Kedi Xu, Matthew Johnson-Roberson, Yonatan Bisk:
Reasoning about the Unseen for Efficient Outdoor Object Navigation. CoRR abs/2309.10103 (2023) - [i51]Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap:
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. CoRR abs/2310.11667 (2023) - [i50]Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Varma Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia P. Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian A. Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk:
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis. CoRR abs/2312.08782 (2023) - 2022
- [c51]Hao Zhu, Yonatan Bisk, Graham Neubig:
Language Learning from Communicative Goals and Linguistic Input. CogSci 2022 - [c50]Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai:
Transformers Are Adaptable Task Planners. CoRL 2022: 1011-1037 - [c49]Yingshan Chang, Guihong Cao, Mridu Narang, Jianfeng Gao, Hisami Suzuki, Yonatan Bisk:
WebQA: Multihop and Multimodal QA. CVPR 2022: 16474-16483 - [c48]Evangelia Spiliopoulou, Artidoro Pagnoni, Yonatan Bisk, Eduard H. Hovy:
EvEntS ReaLM: Event Reasoning of Entity States via Language Models. EMNLP 2022: 1982-1997 - [c47]Shruti Palaskar, Akshita Bhagia, Yonatan Bisk, Florian Metze, Alan W. Black, Ana Marasovic:
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization. EMNLP (Findings) 2022: 2644-2657 - [c46]So Yeon Min, Hao Zhu, Ruslan Salakhutdinov, Yonatan Bisk:
Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue. EMNLP 2022: 9361-9368 - [c45]So Yeon Min, Devendra Singh Chaplot, Pradeep Kumar Ravikumar, Yonatan Bisk, Ruslan Salakhutdinov:
FILM: Following Instructions in Language with Modular Methods. ICLR 2022 - [c44]Khanh X. Nguyen, Yonatan Bisk, Hal Daumé III:
A Framework for Learning to Request Rich and Contextually Useful Information from Humans. ICML 2022: 16553-16568 - [c43]Melanie Sclar, Graham Neubig, Yonatan Bisk:
Symmetric Machine Theory of Mind. ICML 2022: 19450-19466 - [c42]Liangke Gui, Borui Wang, Qiuyuan Huang, Alexander Hauptmann, Yonatan Bisk, Jianfeng Gao:
KAT: A Knowledge Augmented Transformer for Vision-and-Language. NAACL-HLT 2022: 956-968 - [i49]Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk:
HEAR 2021: Holistic Evaluation of Audio Representations. CoRR abs/2203.03022 (2022) - [i48]Liangke Gui, Qiuyuan Huang, Alex Hauptmann, Yonatan Bisk, Jianfeng Gao:
Training Vision-Language Transformers from Captions Alone. CoRR abs/2205.09256 (2022) - [i47]Shruti Palaskar, Akshita Bhagia, Yonatan Bisk, Florian Metze, Alan W. Black, Ana Marasovic:
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization. CoRR abs/2205.11686 (2022) - [i46]Vidhi Jain, Yixin Lin, Eric Undersander, Yonatan Bisk, Akshara Rai:
Transformers are Adaptable Task Planners. CoRR abs/2207.02442 (2022) - [i45]So Yeon Min, Hao Zhu, Ruslan Salakhutdinov, Yonatan Bisk:
Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue. CoRR abs/2210.04443 (2022) - [i44]Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu:
Retrospectives on the Embodied AI Workshop. CoRR abs/2210.06849 (2022) - [i43]Evangelia Spiliopoulou, Artidoro Pagnoni, Yonatan Bisk, Eduard H. Hovy:
EvEntS ReaLM: Event Reasoning of Entity States via Language Models. CoRR abs/2211.05392 (2022) - [i42]So Yeon Min, Yao-Hung Hubert Tsai, Wei Ding, Ali Farhadi, Ruslan Salakhutdinov, Yonatan Bisk, Jian Zhang:
Object Goal Navigation with End-to-End Self-Supervision. CoRR abs/2212.05923 (2022) - 2021
- [c41]Kaixin Ma, Filip Ilievski, Jonathan Francis, Yonatan Bisk, Eric Nyberg, Alessandro Oltramari:
Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering. AAAI 2021: 13507-13515 - [c40]Khyathi Raghavi Chandu, Yonatan Bisk, Alan W. Black:
Grounding 'Grounding' in NLP. ACL/IJCNLP (Findings) 2021: 4283-4305 - [c39]Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig:
Dependency Induction Through the Lens of Visual Perception. CoNLL 2021: 17-26 - [c38]Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer:
Language Grounding with 3D Objects. CoRL 2021: 1691-1701 - [c37]Alessandro Suglia, Yonatan Bisk, Ioannis Konstas, Antonio Vergari, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon:
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games. EACL 2021: 2135-2144 - [c36]Jianwei Yang, Yonatan Bisk, Jianfeng Gao:
TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment. ICCV 2021: 11542-11552 - [c35]Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht:
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. ICLR 2021 - [c34]Hao Zhu, Graham Neubig, Yonatan Bisk:
Few-shot Language Coordination by Modeling Theory of Mind. ICML 2021: 12901-12911 - [c33]Joseph Turian, Jordie Shier, Humair Raj Khan, Bhiksha Raj, Björn W. Schuller, Christian J. Steinmetz, Colin Malloy, George Tzanetakis, Gissel Velarde, Kirk McNally, Max Henry, Nicolas Pinto, Camille Noufi, Christian Clough, Dorien Herremans, Eduardo Fonseca, Jesse H. Engel, Justin Salamon, Philippe Esling, Pranay Manocha, Shinji Watanabe, Zeyu Jin, Yonatan Bisk:
HEAR: Holistic Evaluation of Audio Representations. NeurIPS (Competition and Demos) 2021: 125-145 - [c32]Yingshan Chang, Yonatan Bisk:
WebQA: A Multimodal Multihop NeurIPS Challenge. NeurIPS (Competition and Demos) 2021: 232-245 - [i41]Alessandro Suglia, Yonatan Bisk, Ioannis Konstas, Antonio Vergari, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon:
An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games. CoRR abs/2102.00424 (2021) - [i40]Tejas Srinivasan, Yonatan Bisk:
Worst of Both Worlds: Biases Compound in Pre-trained Vision-and-Language Models. CoRR abs/2104.08666 (2021) - [i39]Khyathi Raghavi Chandu, Yonatan Bisk, Alan W. Black:
Grounding 'Grounding' in NLP. CoRR abs/2106.02192 (2021) - [i38]Hao Zhu, Graham Neubig, Yonatan Bisk:
Few-shot Language Coordination by Modeling Theory of Mind. CoRR abs/2107.05697 (2021) - [i37]Jesse Thomason, Mohit Shridhar, Yonatan Bisk, Chris Paxton, Luke Zettlemoyer:
Language Grounding with 3D Objects. CoRR abs/2107.12514 (2021) - [i36]Jianwei Yang, Yonatan Bisk, Jianfeng Gao:
TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment. CoRR abs/2108.09980 (2021) - [i35]Yingshan Chang, Mridu Narang, Hisami Suzuki, Guihong Cao, Jianfeng Gao, Yonatan Bisk:
WebQA: Multihop and Multimodal QA. CoRR abs/2109.00590 (2021) - [i34]Ruisi Su, Shruti Rijhwani, Hao Zhu, Junxian He, Xinyu Wang, Yonatan Bisk, Graham Neubig:
Dependency Induction Through the Lens of Visual Perception. CoRR abs/2109.09790 (2021) - [i33]So Yeon Min, Devendra Singh Chaplot, Pradeep Ravikumar, Yonatan Bisk, Ruslan Salakhutdinov:
FILM: Following Instructions in Language with Modular Methods. CoRR abs/2110.07342 (2021) - [i32]Khanh Nguyen, Yonatan Bisk, Hal Daumé III:
Learning When and What to Ask: a Hierarchical Reinforcement Learning Framework. CoRR abs/2110.08258 (2021) - [i31]Liangke Gui, Borui Wang, Qiuyuan Huang, Alex Hauptmann, Yonatan Bisk, Jianfeng Gao:
KAT: A Knowledge Augmented Transformer for Vision-and-Language. CoRR abs/2112.08614 (2021) - [i30]Brent J. Hecht, Lauren Wilcox, Jeffrey P. Bigham, Johannes Schöning, Ehsan Hoque, Jason Ernst, Yonatan Bisk, Luigi De Russis, Lana Yarosh, Bushra Anjum, Danish Contractor, Cathy Wu:
It's Time to Do Something: Mitigating the Negative Impacts of Computing Through a Change to the Peer Review Process. CoRR abs/2112.09544 (2021) - 2020
- [j2]Hao Zhu, Yonatan Bisk, Graham Neubig:
The Return of Lexical Dependencies: Neural Lexicalized PCFGs. Trans. Assoc. Comput. Linguistics 8: 647-661 (2020) - [c31]Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. AAAI 2020: 7432-7439 - [c30]Alessandro Suglia, Antonio Vergari, Ioannis Konstas, Yonatan Bisk, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon:
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games. COLING 2020: 1090-1102 - [c29]Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox:
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. CVPR 2020: 10737-10746 - [c28]Homero Roman Roman, Yonatan Bisk, Jesse Thomason, Asli Celikyilmaz, Jianfeng Gao:
RMM: A Recursive Mental Model for Dialog Navigation. EMNLP (Findings) 2020: 1732-1745 - [c27]Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph P. Turian:
Experience Grounds Language. EMNLP (1) 2020: 8718-8735 - [i29]Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith:
Multi-View Learning for Vision-and-Language Navigation. CoRR abs/2003.00857 (2020) - [i28]Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, Joseph P. Turian:
Experience Grounds Language. CoRR abs/2004.10151 (2020) - [i27]Frank F. Xu, Lei Ji, Botian Shi, Junyi Du, Graham Neubig, Yonatan Bisk, Nan Duan:
A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos. CoRR abs/2005.00706 (2020) - [i26]Homero Roman Roman, Yonatan Bisk, Jesse Thomason, Asli Celikyilmaz, Jianfeng Gao:
RMM: A Recursive Mental Model for Dialog Navigation. CoRR abs/2005.00728 (2020) - [i25]Hao Zhu, Yonatan Bisk, Graham Neubig:
The Return of Lexical Dependencies: Neural Lexicalized PCFGs. CoRR abs/2007.15135 (2020) - [i24]Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Côté, Yonatan Bisk, Adam Trischler, Matthew J. Hausknecht:
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning. CoRR abs/2010.03768 (2020) - [i23]Alessandro Suglia, Antonio Vergari, Ioannis Konstas, Yonatan Bisk, Emanuele Bastianelli, Andrea Vanzo, Oliver Lemon:
Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games. CoRR abs/2011.02917 (2020) - [i22]Kaixin Ma, Filip Ilievski, Jonathan Francis, Yonatan Bisk, Eric Nyberg, Alessandro Oltramari:
Knowledge-driven Self-supervision for Zero-shot Commonsense Question Answering. CoRR abs/2011.03863 (2020)
2010 – 2019
- 2019
- [c26]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? ACL (1) 2019: 4791-4800 - [c25]Michael Hahn, Frank Keller, Yonatan Bisk, Yonatan Belinkov:
Character-based Surprisal as a Model of Reading Difficulty in the Presence of Errors. CogSci 2019: 401-407 - [c24]Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. CVPR 2019: 6720-6731 - [c23]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. CVPR 2019: 6741-6749 - [c22]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. EMNLP/IJCNLP (1) 2019: 1494-1499 - [c21]Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox:
Prospection: Interpretable plans from language by predicting the future. ICRA 2019: 6942-6948 - [c20]Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox:
EARLY FUSION for Goal Directed Robotic Vision. IROS 2019: 1025-1031 - [c19]Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa:
Improving Robot Success Detection using Static Object Data. IROS 2019: 4229-4235 - [c18]Jesse Thomason, Daniel Gordon, Yonatan Bisk:
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA. NAACL-HLT (1) 2019: 1977-1983 - [c17]Yonatan Bisk, Jan Buys, Karl Pichotta, Yejin Choi:
Benchmarking Hierarchical Script Knowledge. NAACL-HLT (1) 2019: 4077-4085 - [c16]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. NeurIPS 2019: 9051-9062 - [i21]Michael Hahn, Frank Keller, Yonatan Bisk, Yonatan Belinkov:
Character-based Surprisal as a Model of Human Reading in the Presence of Errors. CoRR abs/1902.00595 (2019) - [i20]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. CoRR abs/1903.02547 (2019) - [i19]Chris Paxton, Yonatan Bisk, Jesse Thomason, Arunkumar Byravan, Dieter Fox:
Prospection: Interpretable Plans From Language By Predicting the Future. CoRR abs/1903.08309 (2019) - [i18]Rosario Scalise, Jesse Thomason, Yonatan Bisk, Siddhartha S. Srinivasa:
Improving Robot Success Detection using Static Object Data. CoRR abs/1904.01650 (2019) - [i17]Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, Yejin Choi:
HellaSwag: Can a Machine Really Finish Your Sentence? CoRR abs/1905.07830 (2019) - [i16]Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi:
Defending Against Neural Fake News. CoRR abs/1905.12616 (2019) - [i15]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. CoRR abs/1909.02244 (2019) - [i14]Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. CoRR abs/1911.11641 (2019) - [i13]Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox:
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks. CoRR abs/1912.01734 (2019) - 2018
- [c15]Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu:
Learning Interpretable Spatial Operations in a Rich 3D Blocks World. AAAI 2018: 5028-5036 - [c14]Yonatan Bisk, Ke M. Tran:
Inducing Grammars with and for Neural Machine Translation. NMT@ACL 2018: 25-35 - [c13]Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi:
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. EMNLP 2018: 93-104 - [c12]Yonatan Belinkov, Yonatan Bisk:
Synthetic and Natural Noise Both Break Neural Machine Translation. ICLR 2018 - [i12]Claudia Yan, Dipendra Kumar Misra, Andrew Bennett, Aaron Walsman, Yonatan Bisk, Yoav Artzi:
CHALET: Cornell House Agent Learning Environment. CoRR abs/1801.07357 (2018) - [i11]Rosario Scalise, Yonatan Bisk, Maxwell Forbes, Daqing Yi, Yejin Choi, Siddhartha S. Srinivasa:
Balancing Shared Autonomy with Human-Robot Communication. CoRR abs/1805.07719 (2018) - [i10]Ke M. Tran, Yonatan Bisk:
Inducing Grammars with and for Neural Machine Translation. CoRR abs/1805.10850 (2018) - [i9]Rowan Zellers, Yonatan Bisk, Roy Schwartz, Yejin Choi:
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference. CoRR abs/1808.05326 (2018) - [i8]Jesse Thomason, Daniel Gordon, Yonatan Bisk:
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA. CoRR abs/1811.00613 (2018) - [i7]Aaron Walsman, Yonatan Bisk, Saadia Gabriel, Dipendra Kumar Misra, Yoav Artzi, Yejin Choi, Dieter Fox:
Early Fusion for Goal Directed Robotic Vision. CoRR abs/1811.08824 (2018) - [i6]Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi:
From Recognition to Cognition: Visual Commonsense Reasoning. CoRR abs/1811.10830 (2018) - 2017
- [c11]Alice Lai, Yonatan Bisk, Julia Hockenmaier:
Natural Language Inference from Multiple Premises. IJCNLP(1) 2017: 100-109 - [e1]Mohit Bansal, Cynthia Matuszek, Jacob Andreas, Yoav Artzi, Yonatan Bisk:
Proceedings of the First Workshop on Language Grounding for Robotics, RoboNLP@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-64-7 [contents] - [i5]Alice Lai, Yonatan Bisk, Julia Hockenmaier:
Natural Language Inference from Multiple Premises. CoRR abs/1710.02925 (2017) - [i4]Yonatan Belinkov, Yonatan Bisk:
Synthetic and Natural Noise Both Break Neural Machine Translation. CoRR abs/1711.02173 (2017) - [i3]Yonatan Bisk, Kevin J. Shih, Yejin Choi, Daniel Marcu:
Learning Interpretable Spatial Operations in a Rich 3D Blocks World. CoRR abs/1712.03463 (2017) - 2016
- [c10]Yonatan Bisk, Daniel Marcu, William Wong:
Towards a Dataset for Human Computer Communication via Grounded Language Acquisition. AAAI Workshop: Symbiotic Cognitive Systems 2016 - [c9]Ke M. Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, Kevin Knight:
Unsupervised Neural Hidden Markov Models. SPNLP@EMNLP 2016: 63-71 - [c8]Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steedman:
Evaluating Induced CCG Parsers on Grounded Semantic Parsing. EMNLP 2016: 2022-2027 - [c7]Ashish Vaswani, Yonatan Bisk, Kenji Sagae, Ryan Musa:
Supertagging With LSTMs. HLT-NAACL 2016: 232-237 - [c6]Yonatan Bisk, Deniz Yuret, Daniel Marcu:
Natural Language Communication with Robots. HLT-NAACL 2016: 751-761 - [i2]Ke M. Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, Kevin Knight:
Unsupervised Neural Hidden Markov Models. CoRR abs/1609.09007 (2016) - [i1]Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steedman:
Evaluating Induced CCG Parsers on Grounded Semantic Parsing. CoRR abs/1609.09405 (2016) - 2015
- [b1]Yonatan Bisk:
Unsupervised grammar induction with Combinatory Categorial Grammars. University of Illinois Urbana-Champaign, USA, 2015 - [c5]Yonatan Bisk, Christos Christodoulopoulos, Julia Hockenmaier:
Labeled Grammar Induction with Minimal Supervision. ACL (2) 2015: 870-876 - [c4]Yonatan Bisk, Julia Hockenmaier:
Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction. ACL (1) 2015: 1395-1404 - 2013
- [j1]Yonatan Bisk, Julia Hockenmaier:
An HDP Model for Inducing Combinatory Categorial Grammars. Trans. Assoc. Comput. Linguistics 1: 75-88 (2013) - 2012
- [c3]Yonatan Bisk, Julia Hockenmaier:
Simple Robust Grammar Induction with Combinatory Categorial Grammars. AAAI 2012: 1643-1649 - [c2]Tim Weninger, Yonatan Bisk, Jiawei Han:
Document-topic hierarchies from document graphs. CIKM 2012: 635-644 - 2010
- [c1]Julia Hockenmaier, Yonatan Bisk:
Normal-form parsing for Combinatory Categorial Grammars with generalized composition and type-raising. COLING 2010: 465-473
Coauthor Index
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