Work

SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs

Year: 2026

Type: conference-paper

Abstract: Jie Sun, Yu Liu, Lu Han, Qiwen Deng, Xiang Shu, Yang Xiao, Lintao Ma, Xingyu Lu, Jun Zhou, Pengfei Liu, Jiancan Wu, Xiang Wang. Findings of the Association for Computational Linguistics: ACL 2026. 2026.

Source: Findings of the Association for Computational Linguistics: ACL (Findings of ACL)

DOI: 10.18653/v1/2026.findings-acl.272

Authors: Jie Sun, Yu Liu, Lu Han, Qiwen Deng, Xiang Shu, Yang Xiao, Lintao Ma, Xingyu Lu, Jun Zhou, Pengfei Liu, Jiancan Wu, Xiang Wang

Institutions: University of Science and Technology of China, Shanghai Innovation Institute, Nanjing University, University of Edinburgh, East China Normal University, Hong Kong Polytechnic University, Ocean University of China, Zhejiang University

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, Fundamental Research Funds for the Central Universities

Award: G4506976190

OpenAlex ID: W7166882194

FWCI:

Cites:

Cited by:

Related to: 10