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Why Do More Experts Fail? A Theoretical Analysis of Model Merging

Year: 2026

Type: conference-paper

Abstract: Zijing Wang, Xingle Xu, YongKang Liu, Yiqun Zhang, Peiqin Lin, Shi Feng, Daling Wang, Xiaocui Yang, Hinrich Schuetze. 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.2108

Authors: Zijing Wang, Xingle Xu, YongKang Liu, Yiqun Zhang, Peiqin Lin, Shi Feng, Daling Wang, Xiaocui Yang, Hinrich Schuetze

Institutions: Northeastern University, Munich Center for Machine Learning, Ludwig-Maximilians-Universität München

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G1364436578, G3523622274, G3663213935, G6718616873, G8666265765

OpenAlex ID: W4414887331

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