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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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Feiqing Huang

Haishi 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)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)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)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)Towards Context-Aware Code Comment Generation.X. Yu, Q. Huang, Z. Wang, Y. Feng, и D. Zhao. EMNLP (Findings), том EMNLP 2020 из Findings of ACL, стр. 3938-3947. Association for Computational Linguistics, (2020)Why Machine Reading Comprehension Models Learn Shortcuts?Y. Lai, C. Zhang, Y. Feng, Q. Huang, и D. Zhao. ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 989-1002. Association for Computational Linguistics, (2021)Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning.C. Liu, C. Tao, J. Liang, J. Feng, T. Shen, Q. Huang, и D. Zhao. EMNLP (Findings), стр. 4452-4463. Association for Computational Linguistics, (2023)Probing Multimodal Large Language Models for Global and Local Semantic Representations.M. Tao, Q. Huang, K. Xu, L. Chen, Y. Feng, и D. Zhao. LREC/COLING, стр. 13050-13056. ELRA and ICCL, (2024)Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization.Y. Jin, Z. Sun, K. Xu, K. Xu, L. Chen, H. Jiang, Q. Huang, C. Song, Y. Liu, D. Zhang и 3 other автор(ы). CoRR, (2024)Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook.C. Liu, C. Tao, J. Liang, T. Shen, J. Feng, Q. Huang, и D. Zhao. EMNLP, стр. 10652-10658. Association for Computational Linguistics, (2022)

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