RAVEL: Reasoning Agents for Validating and Evaluating LLM Text Synthesis

Documenti analoghi

• RLAR: An Agentic Reward System for Multi-task Reinforcement Learning on Large Language Models
  di: Feng, Andrew Zhuoer, et al.
  Pubblicazione: (2026)
• HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing
  di: Feng, Andrew Zhuoer, et al.
  Pubblicazione: (2026)
• IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation
  di: Wen, Bosi, et al.
  Pubblicazione: (2025)
• IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation
  di: Wen, Bosi, et al.
  Pubblicazione: (2026)
• HPSS: Heuristic Prompting Strategy Search for LLM Evaluators
  di: Wen, Bosi, et al.
  Pubblicazione: (2025)