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Notes on chain-of-thought reasoning
3 notes
Agentic Harnesses: LLM-Driven Verification Layers for Robot Autonomy
Researchers propose a verification layer using large language models (LLMs) to ensure the feasibility and ethical alignment of actions planned by robot autonomy systems. The system can evaluate the permissibility of…
CASE: Causal Alignment and Structural Enforcement for Improving Chain-of-Thought Faithfulness
Researchers propose a new framework called CASE to improve the faithfulness of chain-of-thought (CoT) reasoning in large language models (LLMs). The goal is to ensure that the generated reasoning supports the final…
Where Do CoT Training Gains Land in LLM based Agents?
The research investigates the role of Chain-of-Thought (CoT) reasoning in language model agents, finding that while CoT training improves the quality of actions predicted by the model, it does not significantly widen…
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