Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning

Documenti analoghi

• A Survey of Personalization: From RAG to Agent
  di: Li, Xiaopeng, et al.
  Pubblicazione: (2025)
• SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
  di: Li, Xiaopeng, et al.
  Pubblicazione: (2024)
• Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing
  di: Zhang, Wenlin, et al.
  Pubblicazione: (2026)
• LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
  di: Zhang, Yingyi, et al.
  Pubblicazione: (2025)
• Deep Research: A Survey of Autonomous Research Agents
  di: Zhang, Wenlin, et al.
  Pubblicazione: (2025)