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Aman Madaan
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2020 – today
- 2024
- [c19]Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh:
Learning Performance-Improving Code Edits. ICLR 2024 - [c18]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. ICML 2024 - [c17]Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig:
Program-Aided Reasoners (Better) Know What They Know. NAACL-HLT 2024: 2262-2278 - [i30]Syeda Nahida Akter, Aman Madaan, Sangwu Lee, Yiming Yang, Eric Nyberg:
Self-Imagine: Effective Unimodal Reasoning with Multimodal Models using Self-Imagination. CoRR abs/2401.08025 (2024) - [i29]Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon:
In-Context Principle Learning from Mistakes. CoRR abs/2402.05403 (2024) - [i28]Tianyue Ou, Frank F. Xu, Aman Madaan, Jiarui Liu, Robert Lo, Abishek Sridhar, Sudipta Sengupta, Dan Roth, Graham Neubig, Shuyan Zhou:
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale. CoRR abs/2409.15637 (2024) - 2023
- [j1]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:
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. Trans. Assoc. Comput. Linguistics 11: 1643-1668 (2023) - [c16]Wenting Zhao, Mor Geva, Bill Yuchen Lin, Michihiro Yasunaga, Aman Madaan, Tao Yu:
Complex Reasoning in Natural Languag. ACL (tutorial) 2023: 11-20 - [c15]Aman Madaan, Katherine Hermann, Amir Yazdanbakhsh:
What Makes Chain-of-Thought Prompting Effective? A Counterfactual Study. EMNLP (Findings) 2023: 1448-1535 - [c14]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. ICML 2023: 10764-10799 - [c13]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:
Self-Refine: Iterative Refinement with Self-Feedback. NeurIPS 2023 - [i27]Aman Madaan, Alexander Shypula, Uri Alon, Milad Hashemi, Parthasarathy Ranganathan, Yiming Yang, Graham Neubig, Amir Yazdanbakhsh:
Learning Performance-Improving Code Edits. CoRR abs/2302.07867 (2023) - [i26]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:
Self-Refine: Iterative Refinement with Self-Feedback. CoRR abs/2303.17651 (2023) - [i25]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:
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation. CoRR abs/2305.00955 (2023) - [i24]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) - [i23]Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam:
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs. CoRR abs/2305.11860 (2023) - [i22]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:
How FaR Are Large Language Models From Agents with Theory-of-Mind? CoRR abs/2310.03051 (2023) - [i21]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:
AutoMix: Automatically Mixing Language Models. CoRR abs/2310.12963 (2023) - [i20]Anubha Kabra, Sanketh Rangreji, Yash Mathur, Aman Madaan, Emmy Liu, Graham Neubig:
Program-Aided Reasoners (better) Know What They Know. CoRR abs/2311.09553 (2023) - 2022
- [c12]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bernd Bohnet:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. EMNLP (Demos) 2022: 266-281 - [c11]Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig:
Language Models of Code are Few-Shot Commonsense Learners. EMNLP 2022: 1384-1403 - [c10]Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. EMNLP 2022: 2833-2861 - [c9]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut:
Conditional set generation using Seq2seq models. EMNLP 2022: 4874-4896 - [c8]Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang:
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. NAACL-HLT (Findings) 2022: 339-352 - [i19]Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang:
Memory-assisted prompt editing to improve GPT-3 after deployment. CoRR abs/2201.06009 (2022) - [i18]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut:
Conditional set generation using Seq2seq models. CoRR abs/2205.12485 (2022) - [i17]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:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i16]Aman Madaan, Yiming Yang:
FLOWGEN: Fast and slow graph generation. CoRR abs/2207.07656 (2022) - [i15]Aman Madaan, Amir Yazdanbakhsh:
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango. CoRR abs/2209.07686 (2022) - [i14]Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig:
Language Models of Code are Few-Shot Commonsense Learners. CoRR abs/2210.07128 (2022) - [i13]Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig:
PAL: Program-aided Language Models. CoRR abs/2211.10435 (2022) - 2021
- [c7]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy:
Could you give me a hint ? Generating inference graphs for defeasible reasoning. ACL/IJCNLP (Findings) 2021: 5138-5147 - [c6]Amrith Setlur, Aman Madaan, Tanmay Parekh, Yiming Yang, Alan W. Black:
Towards Using Heterogeneous Relation Graphs for End-to-End TTS. ASRU 2021: 1162-1169 - [c5]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. EMNLP (1) 2021: 6291-6310 - [c4]Aman Madaan, Yiming Yang:
Neural Language Modeling for Contextualized Temporal Graph Generation. NAACL-HLT 2021: 864-881 - [i12]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:
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. CoRR abs/2102.01672 (2021) - [i11]Dheeraj Rajagopal, Aman Madaan, Niket Tandon, Yiming Yang, Shrimai Prabhumoye, Abhilasha Ravichander, Peter Clark, Eduard H. Hovy:
CURIE: An Iterative Querying Approach for Reasoning About Situations. CoRR abs/2104.00814 (2021) - [i10]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Yiming Yang, Peter Clark, Keisuke Sakaguchi, Eduard H. Hovy:
Improving Neural Model Performance through Natural Language Feedback on Their Explanations. CoRR abs/2104.08765 (2021) - [i9]Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy:
Could you give me a hint? Generating inference graphs for defeasible reasoning. CoRR abs/2105.05418 (2021) - [i8]Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy:
Think about it! Improving defeasible reasoning by first modeling the question scenario. CoRR abs/2110.12349 (2021) - [i7]Niket Tandon, Aman Madaan, Peter Clark, Keisuke Sakaguchi, Yiming Yang:
Interscript: A dataset for interactive learning of scripts through error feedback. CoRR abs/2112.07867 (2021) - [i6]Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang:
Improving scripts with a memory of natural feedback. CoRR abs/2112.09737 (2021) - 2020
- [c3]Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye:
Politeness Transfer: A Tag and Generate Approach. ACL 2020: 1869-1881 - [i5]Aman Madaan, Shruti Rijhwani, Antonios Anastasopoulos, Yiming Yang, Graham Neubig:
Practical Comparable Data Collection for Low-Resource Languages via Images. CoRR abs/2004.11954 (2020) - [i4]Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabás Póczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye:
Politeness Transfer: A Tag and Generate Approach. CoRR abs/2004.14257 (2020) - [i3]Aman Madaan, Yiming Yang:
Neural Language Modeling for Contextualized Temporal Graph Generation. CoRR abs/2010.10077 (2020) - [i2]Aman Madaan, Dheeraj Rajagopal, Yiming Yang, Abhilasha Ravichander, Eduard H. Hovy, Shrimai Prabhumoye:
EIGEN: Event Influence GENeration using Pre-trained Language Models. CoRR abs/2010.11764 (2020)
2010 – 2019
- 2016
- [c2]Aman Madaan, Ashish R. Mittal, Mausam, Ganesh Ramakrishnan, Sunita Sarawagi:
Numerical Relation Extraction with Minimal Supervision. AAAI 2016: 2764-2771 - [i1]Aman Madaan, Sunita Sarawagi:
Occurrence Statistics of Entities, Relations and Types on the Web. CoRR abs/1605.04359 (2016) - 2013
- [c1]Sunil Kr. Singh, Aman Madaan, Ankur Aggarwal, Ankur Dewan:
Design and implementation of a high performance computing system using distributed compilation. ICACCI 2013: 1352-1357
Coauthor Index
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last updated on 2024-10-17 20:31 CEST by the dblp team
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