DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs

Documenti analoghi

• MASH: Cooperative-Heterogeneous Multi-Agent Reinforcement Learning for Single Humanoid Robot Locomotion
  di: Liu, Qi, et al.
  Pubblicazione: (2025)
• Draft-Thinking: Learning Efficient Reasoning in Long Chain-of-Thought LLMs
  di: Cao, Jie, et al.
  Pubblicazione: (2026)
• MarsRL: Advancing Multi-Agent Reasoning System via Reinforcement Learning with Agentic Pipeline Parallelism
  di: Liu, Shulin, et al.
  Pubblicazione: (2025)
• Toward Scientific Reasoning in LLMs: Training from Expert Discussions via Reinforcement Learning
  di: Yin, Ming, et al.
  Pubblicazione: (2025)
• G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning
  di: Guo, Xiaojun, et al.
  Pubblicazione: (2025)