| Self-refine: Iterative refinement with self-feedback A Madaan, N Tandon, P Gupta, S Hallinan, L Gao, S Wiegreffe, U Alon, ... Advances in Neural Information Processing Systems 36, 2024 | 749 | 2024 |
| PAL: Program-aided Language Models L Gao, A Madaan, S Zhou, U Alon, P Liu, Y Yang, J Callan, G Neubig ICML 2023, 2022 | 540 | 2022 |
| Unsupervised corpus aware language model pre-training for dense passage retrieval L Gao, J Callan ACL 2022, 2021 | 295 | 2021 |
| Active retrieval augmented generation Z Jiang, FF Xu, L Gao, Z Sun, Q Liu, J Dwivedi-Yu, Y Yang, J Callan, ... arXiv preprint arXiv:2305.06983, 2023 | 231 | 2023 |
| Condenser: a Pre-training Architecture for Dense Retrieval L Gao, J Callan EMNLP 2021, 2021 | 228 | 2021 |
| COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List L Gao, Z Dai, J Callan NAACL 2021, 2021 | 222 | 2021 |
| Complementing lexical retrieval with semantic residual embedding L Gao, Z Dai, T Chen, Z Fan, B Van Durme, J Callan ECIR 2021, 2020 | 179* | 2020 |
| Rarr: Researching and revising what language models say, using language models L Gao, Z Dai, P Pasupat, A Chen, AT Chaganty, Y Fan, VY Zhao, N Lao, ... arXiv preprint arXiv:2210.08726, 2022 | 169 | 2022 |
| Precise Zero-Shot Dense Retrieval without Relevance Labels L Gao, X Ma, J Lin, J Callan ACL 2023, 2022 | 138 | 2022 |
| Rethink training of BERT rerankers in multi-stage retrieval pipeline L Gao, Z Dai, J Callan ECIR 2021, 2021 | 114 | 2021 |
| Scaling deep contrastive learning batch size under memory limited setup L Gao, Y Zhang, J Han, J Callan arXiv preprint arXiv:2101.06983, 2021 | 82 | 2021 |
| Rapid and accurate determination of nanopore ionic current using a steric exclusion model J Wilson, K Sarthak, W Si, L Gao, A Aksimentiev Acs Sensors 4 (3), 634-644, 2019 | 71 | 2019 |
| Tevatron: An efficient and flexible toolkit for dense retrieval L Gao, X Ma, J Lin, J Callan arXiv preprint arXiv:2203.05765, 2022 | 70* | 2022 |
| Modularized transfomer-based ranking framework L Gao, Z Dai, J Callan EMNLP 2020, 2020 | 57* | 2020 |
| Understanding BERT rankers under distillation L Gao, Z Dai, J Callan Proceedings of the 2020 ACM SIGIR on International Conference on Theory of …, 2020 | 47 | 2020 |
| Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer Z Jiang, L Gao, J Araki, H Ding, Z Wang, J Callan, G Neubig EMNLP 2022, 2022 | 30 | 2022 |
| Attributed text generation via post-hoc research and revision L Gao, Z Dai, P Pasupat, A Chen, AT Chaganty, Y Fan, VY Zhao, N Lao, ... arXiv preprint arXiv:2210.08726, 2022 | 21 | 2022 |
| 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 | 14 | 2024 |
| Datafinder: Scientific dataset recommendation from natural language descriptions V Viswanathan, L Gao, T Wu, P Liu, G Neubig arXiv preprint arXiv:2305.16636, 2023 | 10 | 2023 |
| Long Document Re-ranking with Modular Re-ranker L Gao, J Callan SIGIR 2022, 2022 | 8 | 2022 |
Zhuyun DaiGoogleVerified email at google.com
