作者位次 #2/4ACL 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...