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Chin-Jou Li

2 accepted papers

2026

Prompt-MII: Meta-Learning Instruction Induction for LLMs

ICLR 2026poster

A popular method to adapt large language models (LLMs) to new tasks is in-context learning (ICL), which is effective but incurs high inference costs as context length grows. In this paper we propose a method to perform instruction induction, where we take training examples and reduce them to a compa…

Cited by 0SourcecodeScholar
2025

Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention

ACL 2025long

Many-shot in-context learning has recently shown promise as an alternative to finetuning, with the major advantage that the same model can be served for multiple tasks. However, this shifts the computational burden from training-time to inference-time, making deployment of many-shot ICL challenging…