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Shuang Liang

Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models
2026 · Chao Xue, Yao Wang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning
2026 · Zekai Lin, Chao Xue, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty
2026 · Chao Xue, Yao Wang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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C-World: A Computer Use Agent Environment Creator
2026 · Ziqiao Xi, Shuang Liang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Works count: 4
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