| Is ChatGPT good at search? investigating large language models as re-ranking agents W Sun, L Yan, X Ma, S Wang, P Ren, Z Chen, D Yin, Z Ren arXiv preprint arXiv:2304.09542, 2023 | 403 | 2023 |
| Knowledgeable or educated guess? revisiting language models as knowledge bases B Cao, H Lin, X Han, L Sun, L Yan, M Liao, T Xue, J Xu arXiv preprint arXiv:2106.09231, 2021 | 144 | 2021 |
| Learning to tokenize for generative retrieval W Sun, L Yan, Z Chen, S Wang, H Zhu, P Ren, Z Chen, D Yin, M Rijke, ... Advances in Neural Information Processing Systems 36, 46345-46361, 2023 | 95 | 2023 |
| Element intervention for open relation extraction F Liu, L Yan, H Lin, X Han, L Sun arXiv preprint arXiv:2106.09558, 2021 | 27 | 2021 |
| Learning to bootstrap for entity set expansion L Yan, X Han, L Sun, B He Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 23 | 2019 |
| Knowing what llms do not know: A simple yet effective self-detection method Y Zhao, L Yan, W Sun, G Xing, C Meng, S Wang, Z Cheng, Z Ren, D Yin arXiv preprint arXiv:2310.17918, 2023 | 22 | 2023 |
| Instruction distillation makes large language models efficient zero-shot rankers W Sun, Z Chen, X Ma, L Yan, S Wang, P Ren, Z Chen, D Yin, Z Ren arXiv preprint arXiv:2311.01555, 2023 | 20 | 2023 |
| Learning to use tools via cooperative and interactive agents Z Shi, S Gao, X Chen, Y Feng, L Yan, H Shi, D Yin, P Ren, S Verberne, ... arXiv preprint arXiv:2403.03031, 2024 | 16 | 2024 |
| Chain of tools: Large language model is an automatic multi-tool learner Z Shi, S Gao, X Chen, Y Feng, L Yan, H Shi, D Yin, Z Chen, S Verberne, ... arXiv preprint arXiv:2405.16533, 2024 | 14 | 2024 |
| Improving the Robustness of Large Language Models via Consistency Alignment Y Zhao, L Yan, W Sun, G Xing, S Wang, C Meng, Z Cheng, Z Ren, D Yin arXiv preprint arXiv:2403.14221, 2024 | 14 | 2024 |
| End-to-end bootstrapping neural network for entity set expansion L Yan, X Han, B He, L Sun Proceedings of the AAAI conference on artificial intelligence 34 (05), 9402-9409, 2020 | 11 | 2020 |
| From learning-to-match to learning-to-discriminate: global prototype learning for few-shot relation classification F Liu, X Xiao, L Yan, H Lin, X Han, D Dai, H Wu, L Sun China National Conference on Chinese Computational Linguistics, 193-208, 2021 | 8* | 2021 |
| Knowtuning: Knowledge-aware fine-tuning for large language models Y Lyu, L Yan, S Wang, H Shi, D Yin, P Ren, Z Chen, M de Rijke, Z Ren arXiv preprint arXiv:2402.11176, 2024 | 6 | 2024 |
| Global bootstrapping neural network for entity set expansion L Yan, X Han, B He, L Sun Findings of the Association for Computational Linguistics: EMNLP 2020, 3705-3714, 2020 | 5 | 2020 |
| ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator J Zhu, L Yan, H Shi, D Yin, L Sha arXiv preprint arXiv:2405.18111, 2024 | 4 | 2024 |
| Progressive adversarial learning for bootstrapping: A case study on entity set expansion L Yan, X Han, L Sun arXiv preprint arXiv:2109.12082, 2021 | 4 | 2021 |
| From bag of sentences to document: Distantly supervised relation extraction via machine reading comprehension L Yan, X Han, L Sun, F Liu, N Bian arXiv preprint arXiv:2012.04334, 2020 | 3 | 2020 |
| Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation B He, N Chen, X He, L Yan, Z Wei, J Luo, ZH Ling arXiv preprint arXiv:2410.05801, 2024 | 2 | 2024 |
| The real, the better: Aligning large language models with online human behaviors G Jiang, L Yan, H Shi, D Yin arXiv preprint arXiv:2405.00578, 2024 | 2 | 2024 |
| MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization Y Lyu, L Yan, Z Wang, D Yin, P Ren, M de Rijke, Z Ren arXiv preprint arXiv:2410.07672, 2024 | 1 | 2024 |
Dawei YinSenior Director of Search Science at Baidu, Inc.Verifisert e-postadresse på baidu.com