Self-refine: Iterative refinement with self-feedback A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ... Neurips 2023, 2023 | 612 | 2023 |
PAL: Program-aided Language Models L Gao*, A Madaan*, S Zhou*, U Alon, P Liu, Y Yang, J Callan, G Neubig ICML 2023, 2022 | 448 | 2022 |
Politeness transfer: A tag and generate approach A Madaan, A Setlur, T Parekh, B Poczos, G Neubig, Y Yang, ... ACL 2020, 2020 | 183 | 2020 |
The gem benchmark: Natural language generation, its evaluation and metrics S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ... arXiv preprint arXiv:2102.01672, 2021 | 129 | 2021 |
Language models of code are few-shot commonsense learners A Madaan, S Zhou, U Alon, Y Yang, G Neubig Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 123 | 2022 |
Memory-assisted prompt editing to improve GPT-3 after deployment A Madaan, N Tandon, P Clark, Y Yang Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 92 | 2022 |
Text and patterns: For effective chain of thought, it takes two to tango A Madaan, A Yazdanbakhsh EMNLP 2023 (Findings), 2022 | 74* | 2022 |
Numerical Relation Extraction with Minimal Supervision A Madaan, A Mittal, G Ramakrishnan, S Sarawagi Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 67 | 2016 |
Rl4f: Generating natural language feedback with reinforcement learning for repairing model outputs AF Akyürek, E Akyürek, A Madaan, A Kalyan, P Clark, D Wijaya, ... arXiv preprint arXiv:2305.08844, 2023 | 58 | 2023 |
Learning performance-improving code edits A Madaan, A Shypula, U Alon, M Hashemi, P Ranganathan, Y Yang, ... ICLR 2024, 2023 | 56* | 2023 |
Bridging the gap: A survey on integrating (human) feedback for natural language generation P Fernandes, A Madaan, E Liu, A Farinhas, PH Martins, A Bertsch, ... TACL 2023, 2023 | 53 | 2023 |
Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback N Tandon, A Madaan, P Clark, Y Yang Findings of the Association for Computational Linguistics: NAACL 2022, 339--352, 2022 | 32* | 2022 |
How FaR Are Large Language Models From Agents with Theory-of-Mind? P Zhou, A Madaan, SP Potharaju, A Gupta, KR McKee, A Holtzman, ... arXiv preprint arXiv:2310.03051, 2023 | 23 | 2023 |
Eigen: Event influence generation using pre-trained language models A Madaan, D Rajagopal, Y Yang, A Ravichander, E Hovy, S Prabhumoye Commonsense Representation and Reasoning Workshop (CSRR), ACL 2022, 2020 | 20* | 2020 |
Think about it! Improving defeasible reasoning by first modeling the question scenario A Madaan, N Tandon, D Rajagopal, P Clark, Y Yang, E Hovy EMNLP 2021, 2021 | 19 | 2021 |
Neural language modeling for contextualized temporal graph generation A Madaan, Y Yang NAACL 2021, 2020 | 16 | 2020 |
Gemv2: Multilingual nlg benchmarking in a single line of code S Gehrmann, A Bhattacharjee, A Mahendiran, A Wang, A Papangelis, ... arXiv preprint arXiv:2206.11249, 2022 | 15 | 2022 |
Could you give me a hint? Generating inference graphs for defeasible reasoning A Madaan, D Rajagopal, N Tandon, Y Yang, E Hovy ACL 2021 (Findings), 2021 | 11 | 2021 |
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs P Aggarwal, A Madaan, Y Yang arXiv preprint arXiv:2305.11860, 2023 | 9* | 2023 |
In-context principle learning from mistakes T Zhang, A Madaan, L Gao, S Zheng, S Mishra, Y Yang, N Tandon, ... arXiv preprint arXiv:2402.05403, 2024 | 7 | 2024 |