一作ICML 2026Poster· General Machine Learning / Supervised Learning
Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift
Jiacheng Cui · Bingkui Tong · Xinyue Bi · Xiaohan Zhao · Jiacheng Liu · Zhiqiang Shen
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Jiacheng Cui · Bingkui Tong · Xinyue Bi · Xiaohan Zhao · Jiacheng Liu · Zhiqiang Shen
Jiacheng Liu · Yaxin Luo · Jiacheng Cui · Xinyi Shang · Xiaohan Zhao · Zhiqiang Shen
Jiacheng Liu · Shengkun Tang · Jiacheng Cui · Dongkuan Xu · Zhiqiang Shen
Yaxin Luo · Jiacheng Cui · Xiaohan Zhao · Xinyi Shang · Jiacheng Liu · Xinyue Bi · Zhaoyi Li · Zhiqiang Shen
The pretraining data mixture of Large Language Models (LLMs) constitutes their “digital DNA”, shaping model behaviors, capabilities, and failure modes. Yet this composition is rarely disclosed, making post-hoc auditing of data combination or provenance difficult. In this work, we formalize \textb...