#multimodal language models
17 papers match
LoMeVQA: A Comprehensive Benchmark for Longitudinal Medical VQA
Zhilin Wu, Zhangkai Ni, Chengmei Yang +4
The paper introduces LoMeVQA, a large benchmark of 206K longitudinal medical visual question answering pairs designed to evaluate temporal reasoning over sequential medical images,…
Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection
Hao Tan, Jun Lan, Zichang Tan +7
Veritas++ introduces a perception‑enhanced framework for detecting AI‑generated images by training models to capture fine‑grained visual details, semantic anomalies, and pixel‑leve…
PanDent: Toward Comprehensive Tooth-Level Structure-Language Consistency in Dental Radiology
Xiaohan Li, Xinyu Liu, Chang Liu +4
The paper presents PanDent, a large-scale benchmark of dental panoramic radiographs with expert-validated tooth-level annotations and corresponding radiology reports, designed to e…
ArogyaSutra: A Multi-Agent Framework for Multimodal Medical Reasoning in Indic Languages
Tanmoy Kanti Halder, Akash Ghosh, Subhadip Baidya +2
The paper introduces a large multilingual multimodal medical QA dataset (ArogyaBodha) and a multi‑agent actor‑critic framework (ArogyaSutra) to improve medical reasoning in Indian…
ReBind: Multi-Reference Video Editing via Structured Instructions with Explicit Reference Relationships
Xinyu Liu, Shihao Li, Weihong Lin +10
The paper introduces ReBind, a framework that uses structured instructions with explicit reference tokens to improve multi‑reference image‑conditioned video editing, enabling preci…
Reinforcing Egocentric Spatial Perception in Multimodal Large Language Models via Ego Scene Augmentation
Chi Kit Wong, Ye Pan, Yuanhuiyi Lyu +6
The paper proposes Ego Scene Augmentation (ESA), a framework that uses an Ego-element Graph to improve the spatial perception of multimodal large language models for egocentric vis…