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ORCIDAshwin Kalyan
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2020 – today
- 2024
[c16]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- [c15]Pranjal Aggarwal
, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande:
GEO: Generative Engine Optimization. KDD 2024: 5-16 - [c14]Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan:
QualEval: Qualitative Evaluation for Model Improvement. NAACL-HLT 2024: 2093-2111 - [i24]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 abs/2404.08555 (2024) - [i23]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 abs/2405.04325 (2024) - [i22]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 abs/2407.18416 (2024) - 2023
- [c13]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 - [c12]Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan:
Toxicity in chatgpt: Analyzing persona-assigned language models. EMNLP (Findings) 2023: 1236-1270 - [c11]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: 5669-5690 - [c10]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: 14384-14396 - [c9]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 - [i21]Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan:
Toxicity in ChatGPT: Analyzing Persona-assigned Language Models. CoRR abs/2304.05335 (2023) - [i20]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 abs/2305.08010 (2023) - [i19]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) - [i18]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 abs/2305.14386 (2023) - [i17]Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan:
Anthropomorphization of AI: Opportunities and Risks. CoRR abs/2305.14784 (2023) - [i16]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 abs/2305.15093 (2023) - [i15]Nirbhay Modhe, Qiaozi Gao, Ashwin Kalyan, Dhruv Batra, Govind Thattai, Gaurav S. Sukhatme:
Exploiting Generalization in Offline Reinforcement Learning via Unseen State Augmentations. CoRR abs/2308.03882 (2023) - [i14]Atharvan Dogra, Deeksha Varshney, Ashwin Kalyan, Ameet Deshpande, Neeraj Kumar:
Distraction-free Embeddings for Robust VQA. CoRR abs/2309.00133 (2023) - [i13]Avijit Thawani, Jay Pujara, Ashwin Kalyan:
Estimating Numbers without Regression. CoRR abs/2310.06204 (2023) - [i12]Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan:
QualEval: Qualitative Evaluation for Model Improvement. CoRR abs/2311.02807 (2023) - [i11]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 abs/2311.04892 (2023) - [i10]Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik R. Narasimhan, Ameet Deshpande:
GEO: Generative Engine Optimization. CoRR abs/2311.09735 (2023) - 2022
- [j1]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) - [c8]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: 3505-3523 - [c7]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: 5807-5832 - [c6]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 - [i9]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 abs/2204.05660 (2022) - [i8]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 abs/2209.09513 (2022) - [i7]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 abs/2209.14610 (2022) - [i6]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 abs/2210.17517 (2022) - [i5]Ameet Deshpande, Md. Arafat Sultan, Anthony Ferritto, Ashwin Kalyan, Karthik Narasimhan, Avirup Sil:
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers. CoRR abs/2211.16634 (2022) - 2021
- [c5]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: 7318-7328 - [c4]Tal Schuster, Ashwin Kalyan, Alex Polozov, Adam Kalai:
Programming Puzzles. NeurIPS Datasets and Benchmarks 2021 - [i4]Tal Schuster, Ashwin Kalyan, Oleksandr Polozov, Adam Tauman Kalai:
Programming Puzzles. CoRR abs/2106.05784 (2021) - [i3]Nirbhay Modhe, Harish Kamath, Dhruv Batra, Ashwin Kalyan:
Model-Advantage Optimization for Model-Based Reinforcement Learning. CoRR abs/2106.14080 (2021) - [i2]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 abs/2110.14207 (2021)
2010 – 2019
- 2019
- [c3]Ashwin Kalyan, Peter Anderson, Stefan Lee, Dhruv Batra:
Trainable Decoding of Sets of Sequences for Neural Sequence Models. ICML 2019: 3211-3221 - 2018
- [c2]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 - [c1]Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra:
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. ICML 2018: 2454-2463 - [i1]Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra:
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations. CoRR abs/1806.02934 (2018)
Coauthor Index
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last updated on 2025-01-21 00:10 CET by the dblp team
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