Ítems similars

• Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements
  per: Li, Ming, et al.
  Publicat: (2024)
• SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
  per: Liu, Liangxin, et al.
  Publicat: (2024)
• LESS: Selecting Influential Data for Targeted Instruction Tuning
  per: Xia, Mengzhou, et al.
  Publicat: (2024)
• From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
  per: Li, Ming, et al.
  Publicat: (2023)
• ODIN: Disentangled Reward Mitigates Hacking in RLHF
  per: Chen, Lichang, et al.
  Publicat: (2024)