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一作ICML 2026Poster· Optimization / Large Scale, Parallel and Distributed

Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation

Hyunji Jung · Sungbin Shin · Namhoon Lee

作者位次 #3/4ACL 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

Hyunji Jung

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2026 顶会论文

Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation

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

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