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 | 278 | 2022 |
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 | 229 | 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 | 119 | 2021 |
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 | 117 | 2019 |
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 | 91 | 2018 |
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 | 72 | 2023 |
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 |
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 | 54 | 2019 |
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 | 52 | 2024 |
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 | 47 | 2023 |
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 | 40 | 2020 |
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 | 38 | 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 | 35 | 2022 |
Fine-grained Entity Typing via Label Reasoning Q Liu, H Lin, X Xiao, X Han, L Sun, H Wu Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 31 | 2021 |
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention J Chen, H Lin, X Han, L Sun Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 30 | 2021 |
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 | 29 | 2022 |
End-to-end Neural Event Coreference Resolution Y Lu, H Lin, J Tang, X Han, L Sun Artificial Intelligence 303, 103632, 2022 | 27 | 2022 |
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 | 25 | 2023 |
Gazetteer-enhanced Attentive Neural Networks for Named Entity Recognition H Lin, Y Lu, X Han, L Sun, B Dong, S Jiang Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 25 | 2019 |
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 | 24 | 2022 |