| Lima: Less is more for alignment C Zhou, P Liu, P Xu, S Iyer, J Sun, Y Mao, X Ma, A Efrat, P Yu, L Yu, ... Advances in Neural Information Processing Systems 36, 55006-55021, 2023 | 983 | 2023 |
| Self-alignment with instruction backtranslation X Li, P Yu, C Zhou, T Schick, O Levy, L Zettlemoyer, J Weston, M Lewis arXiv preprint arXiv:2308.06259, 2023 | 216 | 2023 |
| Chameleon: Mixed-modal early-fusion foundation models C Team arXiv preprint arXiv:2405.09818, 2024 | 174 | 2024 |
| Opt-iml: Scaling language model instruction meta learning through the lens of generalization S Iyer, XV Lin, R Pasunuru, T Mihaylov, D Simig, P Yu, K Shuster, T Wang, ... arXiv preprint arXiv:2212.12017, 2022 | 110 | 2022 |
| Shepherd: A critic for language model generation T Wang, P Yu, XE Tan, S O'Brien, R Pasunuru, J Dwivedi-Yu, ... arXiv preprint arXiv:2308.04592, 2023 | 66 | 2023 |
| Learning diverse stochastic human-action generators by learning smooth latent transitions Z Wang, P Yu, Y Zhao, R Zhang, Y Zhou, J Yuan, C Chen Proceedings of the AAAI conference on artificial intelligence 34 (07), 12281 …, 2020 | 53 | 2020 |
| Feature quantization improves gan training Y Zhao, C Li, P Yu, J Gao, C Chen arXiv preprint arXiv:2004.02088, 2020 | 46 | 2020 |
| Structure-aware human-action generation P Yu, Y Zhao, C Li, J Yuan, C Chen Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 41 | 2020 |
| Self-taught evaluators T Wang, I Kulikov, O Golovneva, P Yu, W Yuan, J Dwivedi-Yu, RY Pang, ... arXiv preprint arXiv:2408.02666, 2024 | 40 | 2024 |
| Distilling system 2 into system 1 P Yu, J Xu, J Weston, I Kulikov arXiv preprint arXiv:2407.06023, 2024 | 34 | 2024 |
| The art of llm refinement: Ask, refine, and trust K Shridhar, K Sinha, A Cohen, T Wang, P Yu, R Pasunuru, M Sachan, ... arXiv preprint arXiv:2311.07961, 2023 | 24 | 2023 |
| Bayesian meta sampling for fast uncertainty adaptation Z Wang, Y Zhao, P Yu, R Zhang, C Chen International Conference on Learning Representations, 2020 | 23 | 2020 |
| Efficient tool use with chain-of-abstraction reasoning S Gao, J Dwivedi-Yu, P Yu, XE Tan, R Pasunuru, O Golovneva, K Sinha, ... arXiv preprint arXiv:2401.17464, 2024 | 22 | 2024 |
| Lima: Less is more for alignment, 2023 C Zhou, P Liu, P Xu, S Iyer, J Sun, Y Mao, X Ma, A Efrat, P Yu, L Yu, ... URL https://arxiv. org/abs/2305.11206, 2023 | 18 | 2023 |
| Alert: Adapting language models to reasoning tasks P Yu, T Wang, O Golovneva, B AlKhamissi, S Verma, Z Jin, G Ghosh, ... arXiv preprint arXiv:2212.08286, 2022 | 17 | 2022 |
| LIMA: Less Is More for Alignment. CoRR abs/2305.11206 (2023) C Zhou, P Liu, P Xu, S Iyer, J Sun, Y Mao, X Ma, A Efrat, P Yu, L Yu, ... arXiv preprint arXiv:2305.11206 10, 2023 | 15 | 2023 |
| OPT-R: Exploring the role of explanations in finetuning and prompting for reasoning skills of large language models B AlKhamissi, S Verma, P Yu, Z Jin, A Celikyilmaz, M Diab arXiv preprint arXiv:2305.12001, 2023 | 14 | 2023 |
| LIMA: Less Is More for Alignment. arXiv 2023 C Zhou, P Liu, P Xu, S Iyer, J Sun, Y Mao, X Ma, A Efrat, P Yu, L Yu arXiv preprint arXiv:2305.11206, 0 | 14 | |
| Efficient language modeling with sparse all-mlp P Yu, M Artetxe, M Ott, S Shleifer, H Gong, V Stoyanov, X Li arXiv preprint arXiv:2203.06850, 2022 | 13 | 2022 |
| ALERT: Adapt language models to reasoning tasks P Yu, T Wang, O Golovneva, B AlKhamissi, S Verma, Z Jin, G Ghosh, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 11 | 2023 |
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