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2020 – today
- 2024
[c50]Neset Özkan Tan, Niket Tandon, David Wadden, Oyvind Tafjord, Mark Gahegan, Michael Witbrock:
Faithful Reasoning over Scientific Claims. AAAI Spring Symposia 2024: 263-272- [c49]Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon:
Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization. ACL (Findings) 2024: 15597-15611 - [c48]Wenlong Zhao, Debanjan Mondal, Niket Tandon, Danica Dillion, Kurt Gray, Yuling Gu:
WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models. LREC/COLING 2024: 17696-17706 - [c47]Li Zhang, Hainiu Xu, Abhinav Kommula, Chris Callison-Burch, Niket Tandon:
OpenPI2.0: An Improved Dataset for Entity Tracking in Texts. EACL (1) 2024: 166-178 - [c46]Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut:
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. EMNLP 2024: 12082-12104 - [c45]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. ICML 2024 - [c44]Li Zhang, Peter A. Jansen, Tianyi Zhang, Peter Clark, Chris Callison-Burch, Niket Tandon:
PDDLEGO: Iterative Planning in Textual Environments. *SEM@NAACL 2024: 212-221 - [i39]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. CoRR abs/2402.05403 (2024) - [i38]Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch:
Calibrating Large Language Models with Sample Consistency. CoRR abs/2402.13904 (2024) - [i37]Tianyi Zhang, Li Zhang, Zhaoyi Hou, Ziyu Wang, Yuling Gu, Peter Clark, Chris Callison-Burch, Niket Tandon:
PROC2PDDL: Open-Domain Planning Representations from Texts. CoRR abs/2403.00092 (2024) - [i36]Wenlong Zhao, Debanjan Mondal, Niket Tandon, Danica Dillion, Kurt Gray, Yuling Gu:
WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models. CoRR abs/2404.16308 (2024) - [i35]Li Zhang, Peter Jansen, Tianyi Zhang, Peter Clark, Chris Callison-Burch, Niket Tandon:
PDDLEGO: Iterative Planning in Textual Environments. CoRR abs/2405.19793 (2024) - [i34]Tao Feng, Lizhen Qu, Niket Tandon, Zhuang Li, Xiaoxi Kang, Gholamreza Haffari:
From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks? CoRR abs/2407.19638 (2024) - 2023
- [c43]Afra Feyza Akyürek, Ekin Akyürek, Ashwin Kalyan, Peter Clark, Derry Tanti Wijaya, Niket Tandon:
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. ACL (1) 2023: 7716-7733 - [c42]EunJeong Hwang, Bodhisattwa Prasad Majumder, Niket Tandon:
Aligning Language Models to User Opinions. EMNLP (Findings) 2023: 5906-5919 - [c41]Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Li, Sarah Wiegreffe, Niket Tandon:
Editing Common Sense in Transformers. EMNLP 2023: 8214-8232 - [c40]Kavel Rao, Liwei Jiang, Valentina Pyatkin, Yuling Gu, Niket Tandon, Nouha Dziri, Faeze Brahman, Yejin Choi:
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. EMNLP (Findings) 2023: 12140-12159 - [c39]Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark:
Self-Refine: Iterative Refinement with Self-Feedback. NeurIPS 2023 - [i33]Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter Clark:
Self-Refine: Iterative Refinement with Self-Feedback. CoRR abs/2303.17651 (2023) - [i32]Afra Feyza Akyürek, Ekin Akyürek, Aman Madaan, Ashwin Kalyan, Peter Clark, Derry Wijaya, Niket Tandon:
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. CoRR abs/2305.08844 (2023) - [i31]Li Zhang, Hainiu Xu, Abhinav Kommula, Niket Tandon, Chris Callison-Burch:
OpenPI2.0: An Improved Dataset for Entity Tracking in Texts. CoRR abs/2305.14603 (2023) - [i30]EunJeong Hwang, Bodhisattwa Prasad Majumder, Niket Tandon:
Aligning Language Models to User Opinions. CoRR abs/2305.14929 (2023) - [i29]Anshita Gupta, Debanjan Mondal, Akshay Krishna Sheshadri, Wenlong Zhao, Xiang Lorraine Li, Sarah Wiegreffe, Niket Tandon:
Editing Commonsense Knowledge in GPT. CoRR abs/2305.14956 (2023) - [i28]Beatriz Borges, Niket Tandon, Tanja Käser, Antoine Bosselut:
Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. CoRR abs/2307.00279 (2023) - [i27]Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter A. Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark:
CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization. CoRR abs/2310.10134 (2023) - [i26]Kavel Rao, Liwei Jiang, Valentina Pyatkin, Yuling Gu, Niket Tandon, Nouha Dziri, Faeze Brahman, Yejin Choi:
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. CoRR abs/2310.15431 (2023) - [i25]Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon:
One Size Does Not Fit All: Customizing Open-Domain Procedures. CoRR abs/2311.09510 (2023) - 2022
- [c38]Anurag Garg, Niket Tandon, Aparna S. Varde:
CSK-SNIFFER: Commonsense Knowledge for Sniffing Object Detection Errors. EDBT/ICDT Workshops 2022 - [c37]Yash Kumar Lal, Niket Tandon, Tanvi Aggarwal, Horace Liu, Nathanael Chambers, Raymond J. Mooney, Niranjan Balasubramanian:
Using Commonsense Knowledge to Answer Why-Questions. EMNLP 2022: 1204-1219 - [c36]Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. EMNLP 2022: 2833-2861 - [c35]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut
:
Conditional set generation using Seq2seq models. EMNLP 2022: 4874-4896 - [c34]Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang:
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. NAACL-HLT (Findings) 2022: 339-352 - [i24]Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. CoRR abs/2201.06009 (2022) - [i23]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut:
Conditional set generation using Seq2seq models. CoRR abs/2205.12485 (2022) - 2021
- [c33]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy:
Could you give me a hint ? Generating inference graphs for defeasible reasoning. ACL/IJCNLP (Findings) 2021: 5138-5147 - [c32]Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi:
proScript: Partially Ordered Scripts Generation. EMNLP (Findings) 2021: 2138-2149 - [c31]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP (1) 2021: 6291-6310 - [c30]Simon Razniewski, Niket Tandon, Aparna S. Varde:
Information to Wisdom: Commonsense Knowledge Extraction and Compilation. WSDM 2021: 1143-1146 - [i22]Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy:
CURIE: An Iterative Querying Approach for Reasoning About Situations. CoRR abs/2104.00814 (2021) - [i21]Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, Yejin Choi:
proScript: Partially Ordered Scripts Generation via Pre-trained Language Models. CoRR abs/2104.08251 (2021) - [i20]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy:
Improving Neural Model Performance through Natural Language Feedback on Their Explanations. CoRR abs/2104.08765 (2021) - [i19]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy:
Could you give me a hint? Generating inference graphs for defeasible reasoning. CoRR abs/2105.05418 (2021) - [i18]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. CoRR abs/2110.12349 (2021) - [i17]Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang:
Interscript: A dataset for interactive learning of scripts through error feedback. CoRR abs/2112.07867 (2021) - [i16]Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang:
Improving scripts with a memory of natural feedback. CoRR abs/2112.09737 (2021) - 2020
- [j5]Peter Clark, Oren Etzioni, Tushar Khot, Daniel Khashabi, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz:
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. AI Mag. 41(4): 39-53 (2020) - [c29]Anurag Garg, Niket Tandon, Aparna S. Varde:
I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract). AAAI 2020: 13789-13790 - [c28]Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy:
What-if I ask you to explain: Explaining the effects of perturbations in procedural text. EMNLP (Findings) 2020: 3345-3355 - [c27]Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy:
A Dataset for Tracking Entities in Open Domain Procedural Text. EMNLP (1) 2020: 6408-6417 - [c26]Onyeka Emebo, Aparna S. Varde, Vaibhav K. Anu, Niket Tandon, Olawande J. Daramola:
Using Commonsense Knowledge and Text Mining for Implicit Requirements Localization. ICTAI 2020: 935-940 - [i15]Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, Eduard H. Hovy:
What-if I ask you to explain: Explaining the effects of perturbations in procedural text. CoRR abs/2005.01526 (2020) - [i14]Sumithra Bhakthavatsalam, Kyle Richardson, Niket Tandon, Peter Clark:
Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations. CoRR abs/2006.07510 (2020) - [i13]Niket Tandon, Keisuke Sakaguchi, Bhavana Dalvi Mishra, Dheeraj Rajagopal, Peter Clark, Michal Guerquin, Kyle Richardson, Eduard H. Hovy:
A Dataset for Tracking Entities in Open Domain Procedural Text. CoRR abs/2011.08092 (2020)
2010 – 2019
- 2019
- [c25]Dheeraj Rajagopal, Nidhi Vyas, Aditya Siddhant, Anirudha Rayasam, Niket Tandon, Eduard H. Hovy:
Domain Adaptation of SRL Systems for Biological Processes. BioNLP@ACL 2019: 80-87 - [c24]Bhavana Dalvi, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark:
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. EMNLP/IJCNLP (1) 2019: 4495-4504 - [c23]Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, Antoine Bosselut:
WIQA: A dataset for "What if..." reasoning over procedural text. EMNLP/IJCNLP (1) 2019: 6075-6084 - [c22]Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie:
Be Consistent! Improving Procedural Text Comprehension using Label Consistency. NAACL-HLT (1) 2019: 2347-2356 - [i12]Xinya Du, Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark, Claire Cardie:
Be Consistent! Improving Procedural Text Comprehension using Label Consistency. CoRR abs/1906.08942 (2019) - [i11]Sreyasi Nag Chowdhury, Niket Tandon, Hakan Ferhatosmanoglu, Gerhard Weikum:
VISIR: Visual and Semantic Image Label Refinement. CoRR abs/1909.00741 (2019) - [i10]Sreyasi Nag Chowdhury, Niket Tandon, Gerhard Weikum:
Know2Look: Commonsense Knowledge for Visual Search. CoRR abs/1909.00749 (2019) - [i9]Peter Clark, Oren Etzioni, Daniel Khashabi, Tushar Khot, Bhavana Dalvi Mishra, Kyle Richardson, Ashish Sabharwal, Carissa Schoenick, Oyvind Tafjord, Niket Tandon, Sumithra Bhakthavatsalam, Dirk Groeneveld, Michal Guerquin, Michael Schmitz:
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. CoRR abs/1909.01958 (2019) - [i8]Niket Tandon, Bhavana Dalvi Mishra, Keisuke Sakaguchi, Antoine Bosselut, Peter Clark:
WIQA: A dataset for "What if..." reasoning over procedural text. CoRR abs/1909.04739 (2019) - [i7]Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen-tau Yih, Peter Clark:
Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. CoRR abs/1909.04745 (2019) - 2018
- [c21]Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark:
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. EMNLP 2018: 57-66 - [c20]Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark:
Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension. NAACL-HLT 2018: 1595-1604 - [c19]Sreyasi Nag Chowdhury, Niket Tandon, Hakan Ferhatosmanoglu, Gerhard Weikum:
VISIR: Visual and Semantic Image Label Refinement. WSDM 2018: 117-125 - [i6]Peter Clark, Bhavana Dalvi, Niket Tandon:
What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text. CoRR abs/1804.05435 (2018) - [i5]Bhavana Dalvi Mishra, Lifu Huang, Niket Tandon, Wen-tau Yih, Peter Clark:
Tracking State Changes in Procedural Text: A Challenge Dataset and Models for Process Paragraph Comprehension. CoRR abs/1805.06975 (2018) - [i4]Niket Tandon, Bhavana Dalvi Mishra, Joel Grus, Wen-tau Yih, Antoine Bosselut, Peter Clark:
Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. CoRR abs/1808.10012 (2018) - 2017
- [j4]Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher Joseph Pal, Hugo Larochelle, Aaron C. Courville, Bernt Schiele:
Movie Description. Int. J. Comput. Vis. 123(1): 94-120 (2017) - [j3]Niket Tandon, Aparna S. Varde, Gerard de Melo:
Commonsense Knowledge in Machine Intelligence. SIGMOD Rec. 46(4): 49-52 (2017) - [j2]Bhavana Dalvi Mishra, Niket Tandon, Peter Clark:
Domain-Targeted, High Precision Knowledge Extraction. Trans. Assoc. Comput. Linguistics 5: 233-246 (2017) - [c18]Niket Tandon, Gerard de Melo, Gerhard Weikum:
WebChild 2.0 : Fine-Grained Commonsense Knowledge Distillation. ACL (System Demonstrations) 2017: 115-120 - [c17]Cuong Xuan Chu, Niket Tandon, Gerhard Weikum:
Distilling Task Knowledge from How-To Communities. WWW 2017: 805-814 - 2016
- [b1]Niket Tandon:
Commonsense knowledge acquisition and applications. Saarland University, Saarbrücken, Germany, 2016 - [j1]Gerard de Melo, Niket Tandon:
"Seeing is believing: the quest for multimodal knowledge" by Gerard de Melo and Niket Tandon, with Martin Vesely as coordinator. SIGWEB Newsl. 2016(Spring): 4:1-4:9 (2016) - [c16]Niket Tandon, Charles Hariman, Jacopo Urbani, Anna Rohrbach, Marcus Rohrbach, Gerhard Weikum:
Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags. AAAI 2016: 243-250 - [c15]Sreyasi Nag Chowdhury, Niket Tandon, Gerhard Weikum:
Know2Look: Commonsense Knowledge for Visual Search. AKBC@NAACL-HLT 2016: 57-62 - [c14]Xu Du, Onyeka Emebo, Aparna S. Varde, Niket Tandon, Sreyasi Nag Chowdhury, Gerhard Weikum:
Air quality assessment from social media and structured data: Pollutants and health impacts in urban planning. ICDE Workshops 2016: 54-59 - [c13]Jiaqiang Chen, Niket Tandon, Charles Darwis Hariman, Gerard de Melo:
WebBrain: Joint Neural Learning of Large-Scale Commonsense Knowledge. ISWC (1) 2016: 102-118 - [i3]Anna Rohrbach, Atousa Torabi, Marcus Rohrbach, Niket Tandon, Christopher J. Pal, Hugo Larochelle, Aaron C. Courville, Bernt Schiele:
Movie Description. CoRR abs/1605.03705 (2016) - [i2]Atousa Torabi, Niket Tandon, Leonid Sigal:
Learning Language-Visual Embedding for Movie Understanding with Natural-Language. CoRR abs/1609.08124 (2016) - 2015
- [c12]Niket Tandon, Shekhar Sharma, Tanima Makkad:
Multimedia Data for the Visually Impaired. AAAI 2015: 4210-4211 - [c11]Ekaterina Shutova, Niket Tandon, Gerard de Melo:
Perceptually Grounded Selectional Preferences. ACL (1) 2015: 950-960 - [c10]Niket Tandon, Gerard de Melo, Abir De, Gerhard Weikum:
Knowlywood: Mining Activity Knowledge From Hollywood Narratives. CIKM 2015: 223-232 - [c9]Anna Rohrbach, Marcus Rohrbach, Niket Tandon, Bernt Schiele:
A dataset for Movie Description. CVPR 2015: 3202-3212 - [c8]Jiaqiang Chen, Niket Tandon, Gerard de Melo:
Neural Word Representations from Large-Scale Commonsense Knowledge. WI-IAT (1) 2015: 225-228 - [c7]Niket Tandon, Gerhard Weikum, Gerard de Melo, Abir De:
Lights, Camera, Action: Knowledge Extraction from Movie Scripts. WWW (Companion Volume) 2015: 127-128 - [i1]Anna Rohrbach, Marcus Rohrbach, Niket Tandon, Bernt Schiele:
A Dataset for Movie Description. CoRR abs/1501.02530 (2015) - 2014
- [c6]Niket Tandon, Gerard de Melo, Gerhard Weikum:
Acquiring Comparative Commonsense Knowledge from the Web. AAAI 2014: 166-172 - [c5]Niket Tandon, Gerard de Melo, Fabian M. Suchanek, Gerhard Weikum:
WebChild: harvesting and organizing commonsense knowledge from the web. WSDM 2014: 523-532 - 2012
- [c4]Niket Tandon, Dheeraj Rajagopal, Gerard de Melo:
Markov Chains for Robust Graph-Based Commonsense Information Extraction. COLING (Demos) 2012: 439-446 - 2011
- [c3]Niket Tandon, Gerard de Melo, Gerhard Weikum:
Deriving a Web-Scale Common Sense Fact Database. AAAI 2011: 152-157 - 2010
- [c2]Gokavarapu Srinivas, Niket Tandon, Vasudeva Varma:
A weighted tag similarity measure based on a collaborative weight model. SMUC@CIKM 2010: 79-86
2000 – 2009
- 2009
- [c1]Niket Tandon, A. Karthik, Shardul Singh Rana, P. Venkata Krihsna:
Simulation of Coordinating Sniffer Robots for Building Odor Maps. CICSyN 2009: 45-50
Coauthor Index
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