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ToNER: Type-oriented Named Entity Recognition with Generative Language Model.

G. Jiang, Z. Luo, Y. Shi, D. Wang, J. Liang, и D. Yang. LREC/COLING, стр. 16251-16262. ELRA and ICCL, (2024)

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Liang Liang

Liang-Liang Fu

Qian Liang

Tzan Jing Liang

Shu Chuan Liang

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Small Language Model Can Self-Correct.H. Han, J. Liang, J. Shi, Q. He, и Y. Xiao. AAAI, стр. 18162-18170. AAAI Press, (2024)Can Large Language Models Understand Real-World Complex Instructions?Q. He, J. Zeng, W. Huang, L. Chen, J. Xiao, Q. He, X. Zhou, J. Liang, и Y. Xiao. AAAI, стр. 18188-18196. AAAI Press, (2024)MAPS-KB: A Million-Scale Probabilistic Simile Knowledge Base.Q. He, X. Wang, J. Liang, и Y. Xiao. AAAI, стр. 6398-6406. AAAI Press, (2023)Towards Visual Taxonomy Expansion.T. Zhu, J. Liu, J. Liang, H. Jiang, Y. Xiao, Z. Wang, R. Xie, и Y. Xian. ACM Multimedia, стр. 6481-6490. ACM, (2023)HTMapper: Bidirectional Head-Tail Mapping for Nested Named Entity Recognition.J. Zhao, Z. Li, Y. Xiao, J. Liang, и J. Liu. CIKM, стр. 3433-3443. ACM, (2023)Large-Scale Multi-granular Concept Extraction Based on Machine Reading Comprehension.S. Yuan, D. Yang, J. Liang, J. Sun, J. Huang, K. Cao, Y. Xiao, и R. Xie. ISWC, том 12922 из Lecture Notes in Computer Science, стр. 93-110. Springer, (2021)Generative Entity Typing with Curriculum Learning.S. Yuan, D. Yang, J. Liang, Z. Li, J. Liu, J. Huang, и Y. Xiao. EMNLP, стр. 3061-3073. Association for Computational Linguistics, (2022)HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications.Q. Cheng, J. Liu, X. Qu, J. Zhao, J. Liang, Z. Wang, B. Huai, N. Yuan, и Y. Xiao. ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 2819-2831. Association for Computational Linguistics, (2021)Large Language Model Can Continue Evolving From Mistakes.H. Zhao, H. Han, J. Shi, C. Du, J. Liang, и Y. Xiao. CoRR, (2024)AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation.W. Huang, C. Peng, Z. Li, J. Liang, Y. Xiao, L. Wen, и Z. Chen. CoRR, (2024)

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