4 citations · 5 across the 4 of their papers we have counts for
4 papers
Know When You're Wrong: Aligning Confidence with Correctness for LLM Error Detection
Xie Xiaohu, Liu Xiaohu, Yao Benjamin
As large language models (LLMs) are increasingly deployed in critical decision-making systems, the lack of reliable methods to measure their uncertainty presents a fundamental trus…
Improving Tool Retrieval by Leveraging Large Language Models for Query Generation
Mohammad Kachuee, Sarthak Ahuja, Vaibhav Kumar +2
Using tools by Large Language Models (LLMs) is a promising avenue to extend their reach beyond language or conversational settings. The number of tools can scale to thousands as th…
MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning
Yichuan Li, Xiyao Ma, Sixing Lu +3
Large Language models (LLMs) have demonstrated impressive in-context learning (ICL) capabilities, where a LLM makes predictions for a given test input together with a few input-out…
AcademicGPT: Empowering Academic Research
Shufa Wei, Xiaolong Xu, Xianbiao Qi +21
Large Language Models (LLMs) have demonstrated exceptional capabilities across various natural language processing tasks. Yet, many of these advanced LLMs are tailored for broad, g…