Documenti analoghi

• Collapse of Irrelevant Representations (CIR) Ensures Robust and Non-Disruptive LLM Unlearning
  di: Sondej, Filip, et al.
  Pubblicazione: (2025)
• Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space
  di: Zhang, Xiang, et al.
  Pubblicazione: (2025)
• Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models
  di: Kim, Gyeongman, et al.
  Pubblicazione: (2025)
• PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
  di: Kim, Gyeongman, et al.
  Pubblicazione: (2024)
• Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
  di: Cha, Sungmin, et al.
  Pubblicazione: (2024)