Siyi Xie

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#1 2605.25354v1 May 25, 2026

Context-CoT: Enhancing Context Learning via High-Quality Reasoning Synthesis

While LLMs excel at reasoning over prompts using static pretrained knowledge, they struggle significantly with context learning-the ability to dynamically extract, internalize, and apply new knowledge from complex, task-specific contexts. Recent evaluations on the CL-Bench reveal a critical capability gap: frontier models solve only 17.2% of context-dependent tasks on average.

Jiayu Ding Hongbo Jin Zhongjing Du Qiao Zhang Jingqi Tian +4

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