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Subarna Tripathi

ACL 2026IROS 2026多模态评测与基准对齐与偏好可解释性
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0 一作 · 2 篇 · ACL 2026 / IROS 2026

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2026 顶会论文

2
作者位次 #3/3ACL 2026Poster· Natural Language Processing

VC -Inspector: Advancing Reference-free Evaluation of Video Captions with Factual Analysis

Shubhashis Roy Dipta · Tz-Ying Wu · Subarna Tripathi

摘要

We propose VC-Inspector, a lightweight, open-source large multimodal model (LMM) for reference-free evaluation of video captions, with a focus on factual accuracy. Unlike existing metrics that suffer from limited context handling, weak factuality assessment, or reliance on proprietary services, V...

多模态评测与基准对齐与偏好OpenReview 项目页
作者位次 #3/5IROS 2026Poster· Perception and Learning for Robot Manipulation

TrajPred: Trajectory-Conditioned Joint Embedding Prediction for Surgical Instrument-Tissue Interaction Recognition in Vision-Language Models

Jiajun Cheng · Xiaofan Yu · Subarna Tripathi · Sainan Liu · Shan Lin

多模态可解释性Deep Learning for Visual PerceptionDeep Learning MethodsRepresentation LearningOpenReview

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