Papers with meta-training techniques

1 papers
To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples (2026.acl-long)

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Challenge: Chain-of-thought (CoT) prompting and in-context learning (ICL) have unlocked significant reasoning capabilities in large language models (LLMs).
Approach: They propose a meta-training technique to learn reasoning tasks in-context using CoT examples.
Outcome: The proposed methods improve performance on novel reasoning tasks even when there are no CoT examples available in-context.

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