Ashwin Kalyan

According to our database, Ashwin Kalyan authored at least 26 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

GEO: Generative Engine Optimization.

Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik R. Narasimhan, Ameet Deshpande

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

CoRR, 2023

QualEval: Qualitative Evaluation for Model Improvement.

Vishvak Murahari, Ameet Deshpande, Peter Clark, Tanmay Rajpurohit, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan

CoRR, 2023

Estimating Numbers without Regression.

Avijit Thawani, Jay Pujara, Ashwin Kalyan

CoRR, 2023

Distraction-free Embeddings for Robust VQA.

Atharvan Dogra, Deeksha Varshney, Ashwin Kalyan, Ameet Deshpande, Neeraj Kumar

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

CSTS: Conditional Semantic Textual Similarity.

Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan

CoRR, 2023

Anthropomorphization of AI: Opportunities and Risks.

Ameet Deshpande, Tanmay Rajpurohit, Karthik Narasimhan, Ashwin Kalyan

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

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.

Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation.

Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Toxicity in chatgpt: Analyzing persona-assigned language models.

Ameet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

C-STS: Conditional Semantic Textual Similarity.

Ameet Deshpande, Carlos E. Jimenez, Howard Chen, Vishvak Murahari, Victoria Graf, Tanmay Rajpurohit, Ashwin Kalyan, Danqi Chen, Karthik Narasimhan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance.

Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth

Frontiers Big Data, 2022

SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers.

Ameet Deshpande, Md. Arafat Sultan, Anthony Ferritto, Ashwin Kalyan, Karthik Narasimhan, Avirup Sil

CoRR, 2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.

Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan

CoRR, 2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.

Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Model-Advantage Optimization for Model-Based Reinforcement Learning.

Nirbhay Modhe, Harish Kamath, Dhruv Batra, Ashwin Kalyan

CoRR, 2021

Programming Puzzles.

Tal Schuster, Ashwin Kalyan, Alex Polozov, Adam Kalai

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019

Trainable Decoding of Sets of Sequences for Neural Sequence Models.

Ashwin Kalyan, Peter Anderson, Stefan Lee, Dhruv Batra

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations.

Ashwin Kalyan, Stefan Lee, Anitha Kannan, Dhruv Batra

Proceedings of the 35th International Conference on Machine Learning, 2018

Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples.

Ashwin Kalyan, Abhishek Mohta, Oleksandr Polozov, Dhruv Batra, Prateek Jain, Sumit Gulwani

Proceedings of the 6th International Conference on Learning Representations, 2018