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作者位次 #5/5ICLR 2026Poster· Optimization / Everything Else

The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM

Kwanhee Lee · Hyeondo Jang · Dongyeop Lee · Dan Alistarh · Namhoon Lee

作者位次 #4/4ACL 2026Poster· Natural Language Processing

Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence

Jinseok Chung · Minkyoung Song · Hyunji Jung · Namhoon Lee

摘要

In-Context Learning (ICL) allows large language models to adapt to new tasks from a few demonstrations, but its reliability remains a concern: predictions are highly sensitive to both prompt design and the model’s ability to understand the context, obscuring whether failures arise from data prope...

可解释性评测与基准安全OpenReview 项目页

Namhoon Lee

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2026 顶会论文

The Unseen Frontier: Pushing the Limits of LLM Sparsity with Surrogate-Free ADMM

Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence

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