RLPR: Extrapolating RLVR to General Domains without Verifiers

Documenti analoghi

• RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback
  di: Yu, Tianyu, et al.
  Pubblicazione: (2023)
• Free Process Rewards without Process Labels
  di: Yuan, Lifan, et al.
  Pubblicazione: (2024)
• From $f(x)$ and $g(x)$ to $f(g(x))$: LLMs Learn New Skills in RL by Composing Old Ones
  di: Yuan, Lifan, et al.
  Pubblicazione: (2025)
• UltraFeedback: Boosting Language Models with Scaled AI Feedback
  di: Cui, Ganqu, et al.
  Pubblicazione: (2023)
• RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
  di: Yu, Tianyu, et al.
  Pubblicazione: (2024)