Work

MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training

Year: 2025

Type: conference-paper

Abstract: Hui Huang, Jiaheng Liu, Yancheng He, Shilong Li, Bing Xu, Conghui Zhu, Muyun Yang, Tiejun Zhao. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Source: Annual Meeting of the Association for Computational Linguistics (ACL)

DOI: 10.18653/v1/2025.acl-long.523

Authors: Hui Huang, Jiaheng Liu, Yancheng He, Shilong Li, Bing Xu, Conghui Zhu, Muyun Yang, Tiejun Zhao

Institutions: Harbin Institute of Technology, Nanjing University, Beijing University of Posts and Telecommunications

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Natural Science Foundation of China, Nanjing University

Awards: G1912045422, G6794409734, G7320519987, G8973983596

OpenAlex ID: W4412945413

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