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Haibo Shi

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Papers (4)

  1. Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning cs.LG · 2026 · author #9
  2. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models cs.CL · 2026 · author #11
  3. Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty cs.CL · 2026 · author #11
  4. Research on Limited Buffer Scheduling Problems in Flexible Flow Shops with Setup Times cs.AI · 2018 · author #3

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