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Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED.

Q. Huang, S. Hao, Y. Ye, S. Zhu, Y. Feng, и D. Zhao. ACL (1), стр. 6241-6252. Association for Computational Linguistics, (2022)

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Haishi Huang

Feiqing Huang

Zhida Huang

Ying Huang

Haowei Huang

Другие публикации лиц с тем же именем

Relation-Aware Question Answering for Heterogeneous Knowledge Graphs.H. Du, Q. Huang, C. Li, C. Zhang, Y. Li, и D. Zhao. CoRR, (2023)Unlocking the Potential of Model Merging for Low-Resource Languages.M. Tao, C. Zhang, Q. Huang, T. Ma, S. Huang, D. Zhao, и Y. Feng. CoRR, (2024)Knowledge-Enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering.H. Du, Q. Huang, C. Zhang, и D. Zhao. NLPCC (1), том 13551 из Lecture Notes in Computer Science, стр. 431-444. Springer, (2022)Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED.Q. Huang, S. Hao, Y. Ye, S. Zhu, Y. Feng, и D. Zhao. ACL (1), стр. 6241-6252. Association for Computational Linguistics, (2022)MC^2: A Multilingual Corpus of Minority Languages in China.C. Zhang, M. Tao, Q. Huang, J. Lin, Z. Chen, и Y. Feng. CoRR, (2023)Do Charge Prediction Models Learn Legal Theory?Z. An, Q. Huang, C. Jiang, Y. Feng, и D. Zhao. EMNLP (Findings), стр. 3757-3768. Association for Computational Linguistics, (2022)From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction.Q. Huang, Y. Zhang, и D. Zhao. EMNLP (Findings), стр. 6129-6140. Association for Computational Linguistics, (2023)Harder Tasks Need More Experts: Dynamic Routing in MoE Models.Q. Huang, Z. An, N. Zhuang, M. Tao, C. Zhang, Y. Jin, K. Xu, L. Chen, S. Huang, и Y. Feng. CoRR, (2024)Lawyer LLaMA Technical Report.Q. Huang, M. Tao, Z. An, C. Zhang, C. Jiang, Z. Chen, Z. Wu, и Y. Feng. CoRR, (2023)Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization.Y. Jin, K. Xu, L. Chen, C. Liao, J. Tan, Q. Huang, B. Chen, C. Lei, A. Liu, C. Song и 5 other автор(ы). CoRR, (2023)

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