Runing Yang
YOU?
Author Swipe
View article: Survey of Uncertainty Estimation in Large Language Models -Sources, Methods, Applications, and Challenge
Survey of Uncertainty Estimation in Large Language Models -Sources, Methods, Applications, and Challenge Open
Large Language Models (LLMs) have demonstrated exceptional performance across a wide range of domains, including everyday life, finance, law, and healthcare. However, inaccurate LLM generation has led to significant penalties in sensitive…
View article: Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? Open
Text summarization, a key natural language generation (NLG) task, is vital in various domains. However, the high cost of inaccurate summaries in risk-critical applications, particularly those involving human-in-the-loop decision-making, ra…
View article: InternalInspector $I^2$: Robust Confidence Estimation in LLMs through Internal States
InternalInspector $I^2$: Robust Confidence Estimation in LLMs through Internal States Open
Despite their vast capabilities, Large Language Models (LLMs) often struggle with generating reliable outputs, frequently producing high-confidence inaccuracies known as hallucinations. Addressing this challenge, our research introduces In…