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What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation.

Z. Gong, J. Liu, J. Wang, X. Cai, D. Zhao, и R. Yan. AAAI, стр. 18082-18089. AAAI Press, (2024)

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Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylationL. Wang. Uni Marburg, (2009)

Lei Wang

Yiner Wang

Bo Wang

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Resorting Relevance Evidences to Cumulative Citation Recommendation for Knowledge Base Acceleration.J. Wang, L. Liao, D. Song, L. Ma, C. Lin, и Y. Rui. WAIM, том 9098 из Lecture Notes in Computer Science, стр. 169-180. Springer, (2015)Deep Partial Multiplex Network Embedding.Q. Wang, Y. Fang, A. Ravula, R. He, B. Shen, J. Wang, X. Quan, и D. Liu. WWW (Companion Volume), стр. 1053-1062. ACM, (2022)BIT and MSRA at TREC KBA CCR Track 2013.J. Wang, D. Song, L. Liao, и C. Lin. TREC, том 500-302 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2013)Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification.S. Hu, N. Ding, H. Wang, Z. Liu, J. Wang, J. Li, W. Wu, и M. Sun. ACL (1), стр. 2225-2240. Association for Computational Linguistics, (2022)PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models.Z. Gong, J. Liu, Q. Wang, Y. Yang, J. Wang, W. Wu, Y. Xian, D. Zhao, и R. Yan. ACL (Findings), стр. 8065-8079. Association for Computational Linguistics, (2023)MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.L. Yang, Q. Wang, J. Wang, X. Quan, F. Feng, Y. Chen, M. Khabsa, S. Wang, Z. Xu, и D. Liu. ACL (Findings), стр. 9978-9991. Association for Computational Linguistics, (2023)Speech Emotion Recognition Method Based on Cross-Layer Intersectant Fusion.K. Wang, P. Liu, S. Li, J. Wang, и C. Zhang. IAIC (2), стр. 271-285. (2023)Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery.Y. Mou, K. He, P. Wang, Y. Wu, J. Wang, W. Wu, и W. Xu. EMNLP, стр. 1517-1529. Association for Computational Linguistics, (2022)DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.Y. Wang, K. He, G. Dong, P. Wang, W. Zeng, M. Diao, W. Xu, J. Wang, M. Zhang, и X. Cai. ACL (1), стр. 4706-4721. Association for Computational Linguistics, (2024)Lifting the Curse of Capacity Gap in Distilling Language Models.C. Zhang, Y. Yang, J. Liu, J. Wang, Y. Xian, B. Wang, и D. Song. ACL (1), стр. 4535-4553. Association for Computational Linguistics, (2023)

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