6 papers
Tree-of-Reasoning: Towards Complex Medical Diagnosis via Multi-Agent Reasoning with Evidence Tree
Qi Peng, Jialin Cui, Jiayuan Xie +2
Large language models (LLMs) have shown great potential in the medical domain. However, existing models still fall short when faced with complex medical diagnosis task in the real…
ExpStar: Towards Automatic Commentary Generation for Multi-discipline Scientific Experiments
Jiali Chen, Yujie Jia, Zihan Wu +6
Experiment commentary is crucial in describing the experimental procedures, delving into underlying scientific principles, and incorporating content-related safety guidelines. In p…
CADReview: Automatically Reviewing CAD Programs with Error Detection and Correction
Jiali Chen, Xusen Hei, HongFei Liu +5
Computer-aided design (CAD) is crucial in prototyping 3D objects through geometric instructions (i.e., CAD programs). In practical design workflows, designers often engage in time-…
Classic4Children: Adapting Chinese Literary Classics for Children with Large Language Model
Jiali Chen, Xusen Hei, Yuqi Xue +3
Chinese literary classics hold significant cultural and educational value, offering deep insights into morality, history, and human nature. These works often include classical Chin…
Learning to Correction: Explainable Feedback Generation for Visual Commonsense Reasoning Distractor
Jiali Chen, Xusen Hei, Yuqi Xue +4
Large multimodal models (LMMs) have shown remarkable performance in the visual commonsense reasoning (VCR) task, which aims to answer a multiple-choice question based on visual com…
Is Your AI-Generated Code Really Safe? Evaluating Large Language Models on Secure Code Generation with CodeSecEval
Jiexin Wang, Xitong Luo, Liuwen Cao +5
Large language models (LLMs) have brought significant advancements to code generation and code repair, benefiting both novice and experienced developers. However, their training us…