Work

Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning

Year: 2026

Type: conference-paper

Abstract: YongKang Liu, Xingle Xu, Ercong Nie, Zijing Wang, Shi Feng, Daling Wang, Qian Li, 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.2208

Authors: YongKang Liu, Xingle Xu, Ercong Nie, Zijing Wang, Shi Feng, Daling Wang, Qian Li, Hinrich Schuetze

Institutions: Northeastern University, Shanghai Jiao Tong University, Shandong University

Language: English

Topic: Topic Modeling

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, G8666265765

OpenAlex ID: W7166816737

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