Követés
Aman Madaan
Cím
Hivatkozott rá
Hivatkozott rá
Év
Self-refine: Iterative refinement with self-feedback
A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ...
Neurips 2023, 2023
3692023
PAL: Program-aided Language Models
L Gao*, A Madaan*, S Zhou*, U Alon, P Liu, Y Yang, J Callan, G Neubig
ICML 2023, 2022
3282022
Politeness transfer: A tag and generate approach
A Madaan, A Setlur, T Parekh, B Poczos, G Neubig, Y Yang, ...
ACL 2020, 2020
1692020
The gem benchmark: Natural language generation, its evaluation and metrics
S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ...
arXiv preprint arXiv:2102.01672, 2021
1292021
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
952022
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
662022
Numerical Relation Extraction with Minimal Supervision
A Madaan, A Mittal, G Ramakrishnan, S Sarawagi
Thirtieth AAAI Conference on Artificial Intelligence, 2016
652016
Text and patterns: For effective chain of thought, it takes two to tango
A Madaan, A Yazdanbakhsh
EMNLP 2023 (Findings), 2022
55*2022
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
392023
Learning performance-improving code edits
A Madaan, A Shypula, U Alon, M Hashemi, P Ranganathan, Y Yang, ...
ICLR 2024, 2023
33*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
312023
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
24*2022
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
21*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
142021
Neural language modeling for contextualized temporal graph generation
A Madaan, Y Yang
NAACL 2021, 2020
142020
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
122023
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
82022
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
72021
Improving neural model performance through natural language feedback on their explanations
A Madaan, N Tandon, D Rajagopal, Y Yang, P Clark, K Sakaguchi, ...
arXiv preprint arXiv:2104.08765, 2021
62021
Let’s Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs
P Aggarwal, A Madaan, Y Yang
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
5*2023
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