RESTRAIN: From Spurious Votes to Signals -- Self-Driven RL with Self-Penalization

Documenti analoghi

• MAGE: Model-Level Graph Neural Networks Explanations via Motif-based Graph Generation
  di: Yu, Zhaoning, et al.
  Pubblicazione: (2024)
• Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
  di: Tao, Leitian, et al.
  Pubblicazione: (2025)
• CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks
  di: Yu, Ping, et al.
  Pubblicazione: (2025)
• Self-Taught Evaluators
  di: Wang, Tianlu, et al.
  Pubblicazione: (2024)
• The Era of Real-World Human Interaction: RL from User Conversations
  di: Jin, Chuanyang, et al.
  Pubblicazione: (2025)