3 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
ViRectify: A Challenging Benchmark for Video Reasoning Correction with Multimodal Large Language Models
Xusen Hei, Jiali Chen, Jinyu Yang +2
As multimodal large language models (MLLMs) frequently exhibit errors in complex video reasoning scenarios, correcting these errors is critical for uncovering their weaknesses and…
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-…
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…