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Notes on out-of-domain generalization
2 notes
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…
Where Do CoT Training Gains Land in LLM based Agents?
The study investigates how Chain-of-thought (CoT) training in language model agents affects their performance. The authors find that while CoT improves overall, it doesn't significantly widen the advantage of CoT…
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