Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples. - Ashwin Kalyan; Abhishek Mohta; Oleksandr Polozov; Dhruv Batra; Prateek Jain 002; Sumit Gulwani (ICLR (Poster), 2018)

Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. - Ashwin Kalyan; Stefan Lee; Anitha Kannan; Dhruv Batra (ICML, 2018)

Trainable Decoding of Sets of Sequences for Neural Sequence Models. - Ashwin Kalyan; Peter Anderson; Stefan Lee; Dhruv Batra (ICML, 2019)

How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. - Ashwin Kalyan; Abhinav Kumar; Arjun Chandrasekaran; Ashish Sabharwal; Peter Clark (EMNLP (1), 2021)

Programming Puzzles. - Tal Schuster; Ashwin Kalyan; Alex Polozov; Adam Kalai (NeurIPS Datasets and Benchmarks, 2021)

Model-Advantage Optimization for Model-Based Reinforcement Learning. - Nirbhay Modhe; Harish Kamath; Dhruv Batra; Ashwin Kalyan (CoRR, 2021)

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. - Swaroop Mishra; Arindam Mitra; Neeraj Varshney; Bhavdeep Singh Sachdeva; Peter Clark; Chitta Baral; Ashwin Kalyan (ACL (1), 2022)

LILA: A Unified Benchmark for Mathematical Reasoning. - Swaroop Mishra; Matthew Finlayson; Pan Lu; Leonard Tang; Sean Welleck; Chitta Baral; Tanmay Rajpurohit; Oyvind Tafjord; Ashish Sabharwal; Peter Clark; Ashwin Kalyan (EMNLP, 2022)

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. - Pan Lu; Swaroop Mishra; Tanglin Xia; Liang Qiu 001; Kai-Wei Chang; Song-Chun Zhu; Oyvind Tafjord; Peter Clark; Ashwin Kalyan (NeurIPS, 2022)

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. - Pan Lu; Swaroop Mishra; Tony Xia; Liang Qiu 001; Kai-Wei Chang; Song-Chun Zhu; Oyvind Tafjord; Peter Clark; Ashwin Kalyan (CoRR, 2022)

SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers. - Ameet Deshpande; Md. Arafat Sultan; Anthony Ferritto; Ashwin Kalyan; Karthik Narasimhan; Avirup Sil (CoRR, 2022)

ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. - Kaushik Roy 009; Manas Gaur; Misagh Soltani; Vipula Rawte; Ashwin Kalyan; Amit P. Sheth (Frontiers Big Data, 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)

C-STS: Conditional Semantic Textual Similarity. - Ameet Deshpande; Carlos E. Jimenez; Howard Chen 003; Vishvak Murahari; Victoria Graf; Tanmay Rajpurohit; Ashwin Kalyan; Danqi Chen 001; Karthik Narasimhan (EMNLP, 2023)

Toxicity in chatgpt: Analyzing persona-assigned language models. - Ameet Deshpande; Vishvak Murahari; Tanmay Rajpurohit; Ashwin Kalyan; Karthik Narasimhan (EMNLP (Findings), 2023)

Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. - Zhenwen Liang; Wenhao Yu 002; Tanmay Rajpurohit; Peter Clark; Xiangliang Zhang 001; Ashwin Kalyan (EMNLP, 2023)

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. - Pan Lu; Liang Qiu 001; Kai-Wei Chang; Ying Nian Wu; Song-Chun Zhu; Tanmay Rajpurohit; Peter Clark; Ashwin Kalyan (ICLR, 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)

Anthropomorphization of AI: Opportunities and Risks. - Ameet Deshpande; Tanmay Rajpurohit; Karthik Narasimhan; Ashwin Kalyan (CoRR, 2023)

CSTS: Conditional Semantic Textual Similarity. - Ameet Deshpande; Carlos E. Jimenez; Howard Chen 003; Vishvak Murahari; Victoria Graf; Tanmay Rajpurohit; Ashwin Kalyan; Danqi Chen 001; Karthik Narasimhan (CoRR, 2023)

Exploiting Generalization in Offline Reinforcement Learning via Unseen State Augmentations. - Nirbhay Modhe; Qiaozi Gao; Ashwin Kalyan; Dhruv Batra; Govind Thattai; Gaurav S. Sukhatme (CoRR, 2023)

Distraction-free Embeddings for Robust VQA. - Atharvan Dogra; Deeksha Varshney; Ashwin Kalyan; Ameet Deshpande; Neeraj Kumar (CoRR, 2023)

Estimating Numbers without Regression. - Avijit Thawani; Jay Pujara; Ashwin Kalyan (CoRR, 2023)

Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. - Shashank Gupta; Vaishnavi Shrivastava; Ameet Deshpande; Ashwin Kalyan; Peter Clark; Ashish Sabharwal; Tushar Khot (ICLR, 2024)

GEO: Generative Engine Optimization. - Pranjal Aggarwal; Vishvak Murahari; Tanmay Rajpurohit; Ashwin Kalyan; Karthik Narasimhan; Ameet Deshpande (KDD, 2024)

QualEval: Qualitative Evaluation for Model Improvement. - Vishvak Murahari; Ameet Deshpande; Peter Clark; Tanmay Rajpurohit; Ashish Sabharwal; Karthik Narasimhan; Ashwin Kalyan (NAACL-HLT, 2024)

RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. - Shreyas Chaudhari; Pranjal Aggarwal; Vishvak Murahari; Tanmay Rajpurohit; Ashwin Kalyan; Karthik Narasimhan; Ameet Deshpande; Bruno Castro da Silva (CoRR, 2024)

Deception in Reinforced Autonomous Agents: The Unconventional Rabbit Hat Trick in Legislation. - Atharvan Dogra; Ameet Deshpande; John J. Nay; Tanmay Rajpurohit; Ashwin Kalyan; Balaraman Ravindran (CoRR, 2024)

PersonaGym: Evaluating Persona Agents and LLMs. - Vinay Samuel; Henry Peng Zou; Yue Zhou; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Ameet Deshpande; Karthik Narasimhan; Vishvak Murahari (CoRR, 2024)

Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation. - Atharvan Dogra; Krishna Pillutla; Ameet Deshpande; Ananya B. Sai; John J. Nay; Tanmay Rajpurohit; Ashwin Kalyan; Balaraman Ravindran (ACL (1), 2025)

Agent Context Protocols Enhance Collective Inference. - Devansh Bhardwaj; Arjun Beniwal; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Karthik R. Narasimhan; Ameet Deshpande; Vishvak Murahari (CoRR, 2025)

Probing AI Safety with Source Code. - Ujwal Narayan; Shreyas Chaudhari; Ashwin Kalyan; Tanmay Rajpurohit; Karthik Narasimhan; Ameet Deshpande; Vishvak Murahari (CoRR, 2025)