Papers by HongYun Huang

1 papers
ICLEval: Evaluating In-Context Learning Ability of Large Language Models (2025.coling-main)

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Challenge: Existing evaluation frameworks focus on language abilities and knowledge, often overlooking the assessment of ICL ability.
Approach: They propose to evaluate the ICL ability of Large Language Models (LLMs) using the ICLEval benchmark.
Outcome: The proposed benchmark demonstrates that ICL ability is universally present in different LLMs and model size is not the sole determinant of ICL efficacy.

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