Simulation of Coordinating Sniffer Robots for Building Odor Maps. - Niket Tandon; A. Karthik 002; Shardul Singh Rana; P. Venkata Krihsna (CICSyN, 2009)

A weighted tag similarity measure based on a collaborative weight model. - Gokavarapu Srinivas; Niket Tandon; Vasudeva Varma (SMUC@CIKM, 2010)

Deriving a Web-Scale Common Sense Fact Database. - Niket Tandon; Gerard de Melo; Gerhard Weikum (AAAI, 2011)

Markov Chains for Robust Graph-Based Commonsense Information Extraction. - Niket Tandon; Dheeraj Rajagopal; Gerard de Melo (COLING (Demos), 2012)

Acquiring Comparative Commonsense Knowledge from the Web. - Niket Tandon; Gerard de Melo; Gerhard Weikum (AAAI, 2014)

WebChild: harvesting and organizing commonsense knowledge from the web. - Niket Tandon; Gerard de Melo; Fabian M. Suchanek; Gerhard Weikum (WSDM, 2014)

Multimedia Data for the Visually Impaired. - Niket Tandon; Shekhar Sharma; Tanima Makkad (AAAI, 2015)

Perceptually Grounded Selectional Preferences. - Ekaterina Shutova; Niket Tandon; Gerard de Melo (ACL (1), 2015)

Knowlywood: Mining Activity Knowledge From Hollywood Narratives. - Niket Tandon; Gerard de Melo; Abir De; Gerhard Weikum (CIKM, 2015)

A dataset for Movie Description. - Anna Rohrbach; Marcus Rohrbach; Niket Tandon; Bernt Schiele (CVPR, 2015)

Neural Word Representations from Large-Scale Commonsense Knowledge. - Jiaqiang Chen; Niket Tandon; Gerard de Melo (WI-IAT (1), 2015)

Lights, Camera, Action: Knowledge Extraction from Movie Scripts. - Niket Tandon; Gerhard Weikum; Gerard de Melo; Abir De (WWW (Companion Volume), 2015)

Commonsense in Parts: Mining Part-Whole Relations from the Web and Image Tags. - Niket Tandon; Charles Hariman; Jacopo Urbani; Anna Rohrbach; Marcus Rohrbach; Gerhard Weikum (AAAI, 2016)

Know2Look: Commonsense Knowledge for Visual Search. - Sreyasi Nag Chowdhury; Niket Tandon; Gerhard Weikum (AKBC@NAACL-HLT, 2016)

Air quality assessment from social media and structured data: Pollutants and health impacts in urban planning. - Xu Du; Onyeka Emebo; Aparna S. Varde; Niket Tandon; Sreyasi Nag Chowdhury; Gerhard Weikum (ICDE Workshops, 2016)

WebBrain: Joint Neural Learning of Large-Scale Commonsense Knowledge. - Jiaqiang Chen; Niket Tandon; Charles Darwis Hariman; Gerard de Melo (ISWC (1), 2016)

Learning Language-Visual Embedding for Movie Understanding with Natural-Language. - Atousa Torabi; Niket Tandon; Leonid Sigal (CoRR, 2016)

"Seeing is believing: the quest for multimodal knowledge" by Gerard de Melo and Niket Tandon, with Martin Vesely as coordinator. - Gerard de Melo; Niket Tandon (SIGWEB Newsl., 2016)

Commonsense knowledge acquisition and applications. - Niket Tandon (2016)

WebChild 2.0 : Fine-Grained Commonsense Knowledge Distillation. - Niket Tandon; Gerard de Melo; Gerhard Weikum (ACL (System Demonstrations), 2017)

Distilling Task Knowledge from How-To Communities. - Cuong Xuan Chu; Niket Tandon; Gerhard Weikum (WWW, 2017)

Movie Description. - Anna Rohrbach; Atousa Torabi; Marcus Rohrbach; Niket Tandon; Christopher Joseph Pal; Hugo Larochelle; Aaron C. Courville; Bernt Schiele (Int. J. Comput. Vis., 2017)

Commonsense Knowledge in Machine Intelligence. - Niket Tandon; Aparna S. Varde; Gerard de Melo (SIGMOD Rec., 2017)

Domain-Targeted, High Precision Knowledge Extraction. - Bhavana Dalvi Mishra; Niket Tandon; Peter Clark (Trans. Assoc. Comput. Linguistics, 2017)

Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. - Niket Tandon; Bhavana Dalvi; Joel Grus; Wen-tau Yih; Antoine Bosselut; Peter Clark (EMNLP, 2018)

Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension. - Bhavana Dalvi; Lifu Huang; Niket Tandon; Wen-tau Yih; Peter Clark (NAACL-HLT, 2018)

VISIR: Visual and Semantic Image Label Refinement. - Sreyasi Nag Chowdhury; Niket Tandon; Hakan Ferhatosmanoglu; Gerhard Weikum (WSDM, 2018)

What Happened? Leveraging VerbNet to Predict the Effects of Actions in Procedural Text. - Peter Clark; Bhavana Dalvi; Niket Tandon (CoRR, 2018)

Domain Adaptation of SRL Systems for Biological Processes. - Dheeraj Rajagopal; Nidhi Vyas; Aditya Siddhant; Anirudha Rayasam; Niket Tandon; Eduard H. Hovy (BioNLP@ACL, 2019)

Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. - Bhavana Dalvi; Niket Tandon; Antoine Bosselut; Wen-tau Yih; Peter Clark (EMNLP/IJCNLP (1), 2019)

WIQA: A dataset for "What if..." reasoning over procedural text. - Niket Tandon; Bhavana Dalvi; Keisuke Sakaguchi; Peter Clark; Antoine Bosselut (EMNLP/IJCNLP (1), 2019)

Be Consistent! Improving Procedural Text Comprehension using Label Consistency. - Xinya Du; Bhavana Dalvi Mishra; Niket Tandon; Antoine Bosselut; Wen-tau Yih; Peter Clark; Claire Cardie (NAACL-HLT (1), 2019)

I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract). - Anurag Garg; Niket Tandon; Aparna S. Varde (AAAI, 2020)

What-if I ask you to explain: Explaining the effects of perturbations in procedural text. - Dheeraj Rajagopal; Niket Tandon; Peter Clark; Bhavana Dalvi; Eduard H. Hovy (EMNLP (Findings), 2020)

A Dataset for Tracking Entities in Open Domain Procedural Text. - Niket Tandon; Keisuke Sakaguchi; Bhavana Dalvi; Dheeraj Rajagopal; Peter Clark; Michal Guerquin; Kyle Richardson 001; Eduard H. Hovy (EMNLP (1), 2020)

Using Commonsense Knowledge and Text Mining for Implicit Requirements Localization. - Onyeka Emebo; Aparna S. Varde; Vaibhav K. Anu; Niket Tandon; Olawande J. Daramola (ICTAI, 2020)

From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project. - Peter Clark; Oren Etzioni; Tushar Khot; Daniel Khashabi; Bhavana Dalvi Mishra; Kyle Richardson 001; Ashish Sabharwal; Carissa Schoenick; Oyvind Tafjord; Niket Tandon; Sumithra Bhakthavatsalam; Dirk Groeneveld; et al. (AI Mag., 2020)

Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations. - Sumithra Bhakthavatsalam; Kyle Richardson 001; Niket Tandon; Peter Clark (CoRR, 2020)

Could you give me a hint ? Generating inference graphs for defeasible reasoning. - Aman Madaan; Dheeraj Rajagopal; Niket Tandon; Yiming Yang; Eduard H. Hovy (ACL/IJCNLP (Findings), 2021)

Think about it! Improving defeasible reasoning by first modeling the question scenario. - Aman Madaan; Niket Tandon; Dheeraj Rajagopal; Peter Clark; Yiming Yang; Eduard H. Hovy (EMNLP (1), 2021)

proScript: Partially Ordered Scripts Generation. - Keisuke Sakaguchi; Chandra Bhagavatula; Ronan Le Bras 001; Niket Tandon; Peter Clark; Yejin Choi 001 (EMNLP (Findings), 2021)

Information to Wisdom: Commonsense Knowledge Extraction and Compilation. - Simon Razniewski; Niket Tandon; Aparna S. Varde (WSDM, 2021)

CURIE: An Iterative Querying Approach for Reasoning About Situations. - Dheeraj Rajagopal; Aman Madaan; Niket Tandon; Yiming Yang; Shrimai Prabhumoye; Abhilasha Ravichander; Peter Clark; Eduard H. Hovy (CoRR, 2021)

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models. - Keisuke Sakaguchi; Chandra Bhagavatula; Ronan Le Bras 001; Niket Tandon; Peter Clark; Yejin Choi 001 (CoRR, 2021)

Improving Neural Model Performance through Natural Language Feedback on Their Explanations. - Aman Madaan; Niket Tandon; Dheeraj Rajagopal; Yiming Yang; Peter Clark; Keisuke Sakaguchi; Eduard H. Hovy (CoRR, 2021)

Interscript: A dataset for interactive learning of scripts through error feedback. - Niket Tandon; Aman Madaan; Peter Clark; Keisuke Sakaguchi; Yiming Yang (CoRR, 2021)

Improving scripts with a memory of natural feedback. - Niket Tandon; Aman Madaan; Peter Clark; Yiming Yang (CoRR, 2021)

CSK-SNIFFER: Commonsense Knowledge for Sniffing Object Detection Errors. - Anurag Garg; Niket Tandon; Aparna S. Varde (EDBT/ICDT Workshops, 2022)

Using Commonsense Knowledge to Answer Why-Questions. - Yash Kumar Lal; Niket Tandon; Tanvi Aggarwal; Horace Liu; Nathanael Chambers; Raymond J. Mooney; Niranjan Balasubramanian (EMNLP, 2022)

Conditional set generation using Seq2seq models. - Aman Madaan; Dheeraj Rajagopal; Niket Tandon; Yiming Yang; Antoine Bosselut (EMNLP, 2022)

Memory-assisted prompt editing to improve GPT-3 after deployment. - Aman Madaan; Niket Tandon; Peter Clark; Yiming Yang (EMNLP, 2022)

Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. - Niket Tandon; Aman Madaan; Peter Clark; Yiming Yang (NAACL-HLT (Findings), 2022)

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. - Afra Feyza Akyürek; Ekin Akyürek; Ashwin Kalyan; Peter Clark; Derry Tanti Wijaya; Niket Tandon (ACL (1), 2023)

Editing Common Sense in Transformers. - Anshita Gupta; Debanjan Mondal; Akshay Krishna Sheshadri; Wenlong Zhao 001; Xiang Li 069; Sarah Wiegreffe; Niket Tandon (EMNLP, 2023)

Aligning Language Models to User Opinions. - EunJeong Hwang; Bodhisattwa Prasad Majumder; Niket Tandon (EMNLP (Findings), 2023)

What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations. - Kavel Rao; Liwei Jiang; Valentina Pyatkin; Yuling Gu; Niket Tandon; Nouha Dziri; Faeze Brahman; Yejin Choi 001 (EMNLP (Findings), 2023)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Shashank Gupta; Bodhisattwa Prasad Majumder; et al. (NeurIPS, 2023)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Sean Welleck; Bodhisattwa Prasad Majumder; et al. (CoRR, 2023)

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. - Afra Feyza Akyürek; Ekin Akyürek; Aman Madaan; Ashwin Kalyan; Peter Clark; Derry Wijaya; Niket Tandon (CoRR, 2023)

Editing Commonsense Knowledge in GPT. - Anshita Gupta; Debanjan Mondal; Akshay Krishna Sheshadri; Wenlong Zhao 001; Xiang Lorraine Li; Sarah Wiegreffe; Niket Tandon (CoRR, 2023)

CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization. - Bodhisattwa Prasad Majumder; Bhavana Dalvi Mishra; Peter A. Jansen; Oyvind Tafjord; Niket Tandon; Li Zhang 039; Chris Callison-Burch; Peter Clark (CoRR, 2023)

One Size Does Not Fit All: Customizing Open-Domain Procedures. - Yash Kumar Lal; Li Zhang 039; Faeze Brahman; Bodhisattwa Prasad Majumder; Peter Clark; Niket Tandon (CoRR, 2023)

Faithful Reasoning over Scientific Claims. - Neset Özkan Tan; Niket Tandon; David Wadden; Oyvind Tafjord; Mark Gahegan; Michael Witbrock (AAAI Spring Symposia, 2024)

Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization. - Yash Kumar Lal; Li Zhang 039; Faeze Brahman; Bodhisattwa Prasad Majumder; Peter Clark; Niket Tandon (ACL (Findings), 2024)

WorldValuesBench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models. - Wenlong Zhao 001; Debanjan Mondal; Niket Tandon; Danica Dillion; Kurt Gray; Yuling Gu (LREC/COLING, 2024)

OpenPI2.0: An Improved Dataset for Entity Tracking in Texts. - Li Zhang 039; Hainiu Xu; Abhinav Kommula; Chris Callison-Burch; Niket Tandon (EACL (1), 2024)

Let Me Teach You: Pedagogical Foundations of Feedback for Language Models. - Beatriz Borges; Niket Tandon; Tanja Käser; Antoine Bosselut (EMNLP, 2024)

In-Context Principle Learning from Mistakes. - Tianjun Zhang; Aman Madaan; Luyu Gao; Steven Zheng; Swaroop Mishra; Yiming Yang; Niket Tandon; Uri Alon 002 (ICML, 2024)

PDDLEGO: Iterative Planning in Textual Environments. - Li Zhang 039; Peter A. Jansen; Tianyi Zhang; Peter Clark; Chris Callison-Burch; Niket Tandon (*SEM@NAACL, 2024)

PROC2PDDL: Open-Domain Planning Representations from Texts. - Tianyi Zhang; Li Zhang 039; Zhaoyi Hou; Ziyu Wang; Yuling Gu; Peter Clark; Chris Callison-Burch; Niket Tandon (CoRR, 2024)

From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks? - Tao Feng 013; Lizhen Qu; Niket Tandon; Zhuang Li 001; Xiaoxi Kang; Gholamreza Haffari (CoRR, 2024)

Calibrating Large Language Models with Sample Consistency. - Qing Lyu 001; Kumar Shridhar; Chaitanya Malaviya; Li Zhang 039; Yanai Elazar; Niket Tandon; Marianna Apidianaki; Mrinmaya Sachan; Chris Callison-Burch (AAAI, 2025)

On the Reliability of Large Language Models for Causal Discovery. - Tao Feng 013; Lizhen Qu; Niket Tandon; Zhuang Li 001; Xiaoxi Kang; Gholamreza Haffari (ACL (1), 2025)

IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data. - Tao Feng 013; Lizhen Qu; Niket Tandon; Gholamreza Haffari (ACL (1), 2025)

First-Step Advantage: Importance of Starting Right in Multi-Step Math Reasoning. - Kushal Jain; Moritz Miller; Niket Tandon; Kumar Shridhar (ACL (Findings), 2025)