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Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models

Year: 2026

Type: conference-paper

Abstract: Wei Wu, Liyi Chen, Congxi Xiao, Tianfu Wang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yiwu, Yao Hu, Hui Xiong. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.18653/v1/2026.acl-long.1047

Authors: Wei Wu, Liyi Chen, Congxi Xiao, Tianfu Wang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yiwu, Yao Hu, Hui Xiong

Institutions: University of Science and Technology of China, Xiaohongshu (Little Red Book) (China), The Hong Kong University of Science and Technology (Guangzhou), Hong Kong University of Science and Technology

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, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G1782397203, G6130982387

OpenAlex ID: W7166871058

FWCI: 8.935

Cites:

Cited by: 1

Related to: 10