Aman Madaan

According to our database, Aman Madaan authored at least 37 papers between 2013 and 2024.

Collaborative distances:

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

2024

In-Context Principle Learning from Mistakes.

Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon

CoRR, 2024

Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination.

Syeda Nahida Akter, Aman Madaan, Sangwu Lee, Yiming Yang, Eric Nyberg

CoRR, 2024

2023

Program-Aided Reasoners (better) Know What They Know.

Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig

CoRR, 2023

AutoMix: Automatically Mixing Language Models.

Aman Madaan, Pranjal Aggarwal, Ankit Anand, Srividya Pranavi Potharaju, Swaroop Mishra, Pei Zhou, Aditya Gupta, Dheeraj Rajagopal, Karthik Kappaganthu, Yiming Yang, Shyam Upadhyay, Mausam, Manaal Faruqui

CoRR, 2023

How FaR Are Large Language Models From Agents with Theory-of-Mind?

Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, Aditya Gupta, Kevin R. McKee, Ari Holtzman, Jay Pujara, Xiang Ren, Swaroop Mishra, Aida Nematzadeh, Shyam Upadhyay, Manaal Faruqui

CoRR, 2023

Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs.

Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam

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

Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation.

Patrick Fernandes, Aman Madaan, Emmy Liu, António Farinhas, Pedro Henrique Martins, Amanda Bertsch, José G. C. de Souza, Shuyan Zhou, Tongshuang Wu, Graham Neubig, André F. T. Martins

CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.

Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter Clark

CoRR, 2023

Learning Performance-Improving Code Edits.

Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh

CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.

Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PAL: Program-aided Language Models.

Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig

Proceedings of the International Conference on Machine Learning, 2023

What Makes Chain-of-Thought Prompting Effective? A Counterfactual Study.

Aman Madaan, Katherine Hermann, Amir Yazdanbakhsh

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

Complex Reasoning in Natural Languag.

Wenting Zhao, Mor Geva, Bill Yuchen Lin, Michihiro Yasunaga, Aman Madaan, Tao Yu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

2022

Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango.

Aman Madaan, Amir Yazdanbakhsh

CoRR, 2022

FLOWGEN: Fast and slow graph generation.

Aman Madaan, Yiming Yang

CoRR, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou

CoRR, 2022

Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback.

Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Language Models of Code are Few-Shot Commonsense Learners.

Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig

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

Memory-assisted prompt editing to improve GPT-3 after deployment.

Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang

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

Conditional set generation using Seq2seq models.

Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut

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

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bernd Bohnet

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

2021

Improving scripts with a memory of natural feedback.

Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang

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 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

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

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou

CoRR, 2021

Neural Language Modeling for Contextualized Temporal Graph Generation.

Aman Madaan, Yiming Yang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

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

Towards Using Heterogeneous Relation Graphs for End-to-End TTS.

Amrith Setlur, Aman Madaan, Tanmay Parekh, Yiming Yang, Alan W. Black

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Could you give me a hint ? Generating inference graphs for defeasible reasoning.

Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

EIGEN: Event Influence GENeration using Pre-trained Language Models.

Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard H. Hovy, Shrimai Prabhumoye

CoRR, 2020

Practical Comparable Data Collection for Low-Resource Languages via Images.

Aman Madaan, Shruti Rijhwani, Antonios Anastasopoulos, Yiming Yang, Graham Neubig

CoRR, 2020

Politeness Transfer: A Tag and Generate Approach.

Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2016

Occurrence Statistics of Entities, Relations and Types on the Web.

Aman Madaan, Sunita Sarawagi

CoRR, 2016

Numerical Relation Extraction with Minimal Supervision.

Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2013

Design and implementation of a high performance computing system using distributed compilation.

Sunil Kr. Singh, Aman Madaan, Ankur Aggarwal, Ankur Dewan

Proceedings of the International Conference on Advances in Computing, 2013