Unified Structure Generation for Universal Information Extraction Y Lu, Q Liu, D Dai, X Xiao, H Lin, X Han, L Sun, H Wu Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 426 | 2022 |
Benchmarking large language models in retrieval-augmented generation J Chen, H Lin, X Han, L Sun Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 17754 …, 2024 | 342 | 2024 |
Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction Y Lu, H Lin, J Xu, X Han, J Tang, A Li, L Sun, M Liao, S Chen Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 303 | 2021 |
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 Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 147 | 2021 |
ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases Q Tang, Z Deng, H Lin, X Han, Q Liang, L Sun arXiv preprint arXiv:2306.05301, 2023 | 127 | 2023 |
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region Networks H Lin, Y Lu, X Han, L Sun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 124 | 2019 |
ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models N Bian, X Han, L Sun, H Lin, Y Lu, B He arXiv preprint arXiv:2303.16421, 2023 | 122 | 2023 |
Nugget Proposal Networks for Chinese Event Detection H Lin, Y Lu, X Han, L Sun Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 99 | 2018 |
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect X Men, M Xu, Q Zhang, B Wang, H Lin, Y Lu, X Han, W Chen arXiv preprint arXiv:2403.03853, 2024 | 96 | 2024 |
Universal information extraction as unified semantic matching J Lou, Y Lu, D Dai, W Jia, H Lin, X Han, L Sun, H Wu Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13318 …, 2023 | 63 | 2023 |
Mitigating large language model hallucinations via autonomous knowledge graph-based retrofitting X Guan, Y Liu, H Lin, Y Lu, B He, X Han, L Sun Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18126 …, 2024 | 58 | 2024 |
Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning Y Lu, H Lin, X Han, L Sun Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 57 | 2019 |
Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension H Lin, L Sun, X Han Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 55 | 2017 |
De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention W Zhang, H Lin, X Han, L Sun Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 49 | 2021 |
Few-shot Named Entity Recognition with Self-describing Networks J Chen, Q Liu, H Lin, X Han, L Sun arXiv preprint arXiv:2203.12252, 2022 | 46 | 2022 |
AI for social science and social science of AI: A survey R Xu, Y Sun, M Ren, S Guo, R Pan, H Lin, L Sun, X Han Information Processing & Management 61 (3), 103665, 2024 | 45 | 2024 |
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land? H Lin, Y Lu, X Han, L Sun Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 44 | 2020 |
Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View B Cao, H Lin, X Han, F Liu, L Sun arXiv preprint arXiv:2203.12258, 2022 | 39 | 2022 |
Influence of external information on large language models mirrors social cognitive patterns N Bian, H Lin, P Liu, Y Lu, C Zhang, B He, X Han, L Sun IEEE Transactions on Computational Social Systems, 2024 | 37* | 2024 |
Pre-training to Match for Unified Low-shot Relation Extraction F Liu, H Lin, X Han, B Cao, L Sun arXiv preprint arXiv:2203.12274, 2022 | 37 | 2022 |