AdapShot
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AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse
Announce Type: replace Abstract: Many-Shot In-Context Learning (ICL) has emerged as a promising paradigm, leveraging extensive examples to unlock the reasoning potential of Large Language Models (LLMs). However, existing methods typically rely on a predetermined, fixed number of shots. This static approach often fails to adapt to the varying difficulty of different queries, leading to either insufficient context or interference from noise.