Research Paper#Large Language Models (LLMs), Machine Learning, Multi-Expert Systems🔬 ResearchAnalyzed: Jan 3, 2026 19:28
Learning with Multi-Expert Deferral for LLMs
Published:Dec 28, 2025 11:33
•1 min read
•ArXiv
Analysis
This paper addresses critical challenges of Large Language Models (LLMs) such as hallucinations and high inference costs. It proposes a framework for learning with multi-expert deferral, where uncertain inputs are routed to more capable experts and simpler queries to smaller models. This approach aims to improve reliability and efficiency. The paper provides theoretical guarantees and introduces new algorithms with empirical validation on benchmark datasets.
Key Takeaways
Reference
“The paper introduces new surrogate losses and proves strong non-asymptotic, hypothesis set-specific consistency guarantees, resolving existing open questions.”