2 citations · 4 across the 12 of their papers we have counts for
5 papers · 1 filter
A Survey of Uncertainty Estimation in LLMs: Theory Meets Practice
Hsiu-Yuan Huang, Yutong Yang, Zhaoxi Zhang +2
As large language models (LLMs) continue to evolve, understanding and quantifying the uncertainty in their predictions is critical for enhancing application credibility. However, t…
Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection
Hsiu-Yuan Huang, Zichen Wu, Yutong Yang +2
Large Language Models (LLMs) have shown remarkable performance across a wide range of downstream tasks. However, it is challenging for users to discern whether the responses of LLM…
Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks
Yida Cai, Hao Sun, Hsiu-Yuan Huang +1
Information Extraction (IE) plays a crucial role in Natural Language Processing (NLP) by extracting structured information from unstructured text, thereby facilitating seamless int…
FPT: Feature Prompt Tuning for Few-shot Readability Assessment
Ziyang Wang, Sanwoo Lee, Hsiu-Yuan Huang +1
Prompt-based methods have achieved promising results in most few-shot text classification tasks. However, for readability assessment tasks, traditional prompt methods lackcrucial l…
Unleashing Large Language Models' Proficiency in Zero-shot Essay Scoring
Sanwoo Lee, Yida Cai, Desong Meng +2
Advances in automated essay scoring (AES) have traditionally relied on labeled essays, requiring tremendous cost and expertise for their acquisition. Recently, large language model…