Tag: chain of thought
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LLM Reasoning Reveals Myopic Planning in Search Trees
Study uncovers shallow search depth and myopic planning in LLMs, highlighting key differences from human decision-making strategies.
Length-Driven Position Bias in AI Reasoning Models Revealed
Discover how reasoning length impacts position bias in AI models and learn tools to audit and reduce bias in multiple-choice QA systems.
Policy-Guided Model Routing for Efficient AI Reasoning
Discover a novel policy-guided stepwise model routing method that enhances AI reasoning efficiency and reduces inference costs in large language models.
ReFlect: Boosting Long-Horizon Reasoning in LLMs
Discover ReFlect, a novel system that enhances complex long-horizon reasoning and self-correction in large language models without extra training.
Deterministic Computation in LLMs: Prompting vs Execution
Explore how prompting and execution-based methods impact deterministic computation accuracy in large language models (LLMs).