Ashwin Kalyan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 41

Top Topics

Reasoning Tasks

Reinforcement Learning

Teachable Agent

Top Venues

Publications

Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande
GEO: Generative Engine Optimization. KDD (2024)
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
QualEval: Qualitative Evaluation for Model Improvement. NAACL-HLT (2024)
Shreyas Chaudhari, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, Bruno Castro da Silva
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs. CoRR (2024)
Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, Vishvak Murahari
PersonaGym: Evaluating Persona Agents and LLMs. CoRR (2024)
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. ICLR (2024)
Atharvan Dogra, Ameet Deshpande, John Nay, Tanmay Rajpurohit, Ashwin Kalyan, Balaraman Ravindran
Deception in Reinforced Autonomous Agents: The Unconventional Rabbit Hat Trick in Legislation. CoRR (2024)
Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik R. Narasimhan, Ameet Deshpande
GEO: Generative Engine Optimization. CoRR (2023)
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. EMNLP (2023)
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan
Toxicity in chatgpt: Analyzing persona-assigned language models. EMNLP (Findings) (2023)
Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan
Toxicity in ChatGPT: Analyzing Persona-assigned Language Models. CoRR (2023)
Nirbhay Modhe, Qiaozi Gao, Ashwin Kalyan, Dhruv Batra, Govind Thattai, Gaurav S. Sukhatme
Exploiting Generalization in Offline Reinforcement Learning via Unseen State Augmentations. CoRR (2023)
Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
C-STS: Conditional Semantic Textual Similarity. EMNLP (2023)
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)
Atharvan Dogra, Deeksha Varshney, Ashwin Kalyan, Ameet Deshpande, Neeraj Kumar
Distraction-free Embeddings for Robust VQA. CoRR (2023)
Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
QualEval: Qualitative Evaluation for Model Improvement. CoRR (2023)
Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan
CSTS: Conditional Semantic Textual Similarity. CoRR (2023)
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 (2023)
Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance. CoRR (2023)
Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, Ashwin Kalyan, Peter Clark, Ashish Sabharwal, Tushar Khot
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs. CoRR (2023)
Avijit Thawani, Jay Pujara, Ashwin Kalyan
Estimating Numbers without Regression. CoRR (2023)
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation. CoRR (2023)
Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan
Anthropomorphization of AI: Opportunities and Risks. CoRR (2023)
Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. ICLR (2023)
Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. ACL (1) (2022)
Ameet Deshpande, Md. Arafat Sultan, Anthony Ferritto, Ashwin Kalyan, Karthik Narasimhan, Avirup Sil
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers. CoRR (2022)
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
LILA: A Unified Benchmark for Mathematical Reasoning. EMNLP (2022)
Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. NeurIPS (2022)
Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. CoRR (2022)
Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. Frontiers Big Data 5 (2022)
Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. CoRR (2022)
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan
Lila: A Unified Benchmark for Mathematical Reasoning. CoRR (2022)
Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Singh Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks. CoRR (2022)
Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark
How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. CoRR (2021)
Tal Schuster, Ashwin Kalyan, Oleksandr Polozov, Adam Tauman Kalai
Programming Puzzles. CoRR (2021)
Ashwin Kalyan, Abhinav Kumar, Arjun Chandrasekaran, Ashish Sabharwal, Peter Clark
How much coffee was consumed during EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. EMNLP (1) (2021)
Tal Schuster, Ashwin Kalyan, Alex Polozov, Adam Kalai
Programming Puzzles. NeurIPS Datasets and Benchmarks (2021)
Nirbhay Modhe, Harish Kamath, Dhruv Batra, Ashwin Kalyan
Model-Advantage Optimization for Model-Based Reinforcement Learning. CoRR (2021)
Ashwin Kalyan, Peter Anderson, Stefan Lee, Dhruv Batra
Trainable Decoding of Sets of Sequences for Neural Sequence Models. ICML (2019)
Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. ICML (2018)
Ashwin Kalyan, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, Sumit Gulwani
Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples. ICLR (Poster) (2018)
Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. CoRR (2018)