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王伟钦,现为深圳大学计算机与软件学院硕士研究生(2025年推荐免试录取),导师为王祎乐助理教授。主要研究方向为人工智能、自然语言处理与大语言模型。
SemPA: Improving Sentence Embeddings of Large Language Models through Semantic Preference Alignment.
[arxiv]
[bib]
Ziyang Chen, Zhenxuan Huang, Yile Wang, Weiqin Wang, Lu Yin, and Hui Huang.
To appear in Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2026
Beyond Majority Voting: Towards Fine-grained and More Reliable Reward Signal for Test-Time Reinforcement Learning.
[arxiv]
[bib]
Weiqin Wang, Yile Wang, Kehao Chen, and Hui Huang.
To appear in Main Conference of the 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026
AnchorMem: Anchored Facts with Associative Contexts for Building Memory in Large Language Models.
[arxiv]
[bib]
Zhanyu Shen, Sijie Cheng, Zhicheng Guo, Weiqin Wang, Yile Wang, and Hui Huang.
To appear in Findings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2026
Ranked Voting based Self-Consistency of Large Language Models.
[pdf]
[bib]
Weiqin Wang, Yile Wang, and Hui Huang.
In Findings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2025