Back to Blackwell: Closing the Loop on Intransitivity in Multi-Objective Preference Fine-Tuning

Documenti analoghi

• All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning
  di: Swamy, Gokul, et al.
  Pubblicazione: (2025)
• Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
  di: Tang, Jingwu, et al.
  Pubblicazione: (2024)
• Gained in Translation: Privileged Pairwise Judges Enhance Multilingual Reasoning
  di: Sutawika, Lintang, et al.
  Pubblicazione: (2026)
• Inverse Reinforcement Learning without Reinforcement Learning
  di: Swamy, Gokul, et al.
  Pubblicazione: (2023)
• Gone but Not Forgotten: Improved Benchmarks for Machine Unlearning
  di: Grimes, Keltin, et al.
  Pubblicazione: (2024)