Work

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models

Year: 2025

Type: conference-paper

Abstract: Boyang Xue, Fei Mi, Qi Zhu, Hongru Wang, Rui Wang, Sheng Wang, Erxin Yu, Xuming Hu, Kam-Fai Wong. 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.299

Authors: Boyang Xue, Fei Mi, Qi Zhu, Hongru Wang, Rui Wang, Sheng Wang, Erxin Yu, Xuming Hu, Kam-Fai Wong

Institutions: University of Hong Kong, Chinese University of Hong Kong, Hong Kong Polytechnic University, The Hong Kong University of Science and Technology (Guangzhou)

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Chinese University of Hong Kong

Awards: G3291373823, G8125344204

OpenAlex ID: W4412945698

FWCI: 1.059

Cites:

Cited by: 1

Related to: 10