Tag: LLM reasoning
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RE-MCDF: AI-Driven Multi-Expert Clinical Diagnosis System
Discover RE-MCDF, a multi-expert AI framework enhancing clinical diagnosis accuracy using closed-loop reasoning on complex EMRs.
Boost LLM Math Reasoning with Spectral Orthogonal Exploration
Discover how Spectral Orthogonal Exploration enhances LLMs, improving math reasoning accuracy by 62% and sampling efficiency by 114%.
Fano-Style Accuracy Bound for LLM Multi-Hop QA
Explore the Fano-style accuracy limit for LLMs in multi-hop QA and learn how InfoQA improves single-pass reasoning with capacity-aware methods.
Detecting Misaligned Reasoning in Continuous Thought AI Models
Explore methods to detect misaligned reasoning in continuous thought AI models using the MoralChain benchmark for safer, ethical AI development.
CAP-CoT: Boosting Chain of Thought Accuracy in LLMs
Discover CAP-CoT, a novel cycle adversarial prompt method that improves accuracy, stability, and robustness in large language model reasoning.