LLM CHESS: Benchmarking Reasoning and Instruction-Following in LLMs through Chess

Documenti analoghi

• Agent Instructs Large Language Models to be General Zero-Shot Reasoners
  di: Crispino, Nicholas, et al.
  Pubblicazione: (2023)
• Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems
  di: Chen, Lingjiao, et al.
  Pubblicazione: (2024)
• Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design
  di: Davis, Jared Quincy, et al.
  Pubblicazione: (2024)
• Optimizing Model Selection for Compound AI Systems
  di: Chen, Lingjiao, et al.
  Pubblicazione: (2025)
• BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation
  di: Zhu, Alan, et al.
  Pubblicazione: (2025)