most citedVerification Mirage: Mapping the Reliability Boundary of Self-Verification in Medical VQA

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

VisualCoding: Learning Executable Skills for Reliable Visual Reasoning

Jiaqi Liu, Liu Jiaqi, Ruinan Jin +3

Learning reusable skills can improve visual reasoning agents, yet applying a skill still requires the agent to implement or invoke a procedure and produce the final answer. Errors…

cs.CR2026

CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt Optimization

Xinting Liao, Behnoosh Zamanlooy, Masoumeh Shafieinejad +4

Textual Collaborative Prompt Optimization (TCPO) extends TextGrad (Yuksekgonul et al., 2025) to a decentralized setting by allowing multiple clients to jointly improve prompts for…

cs.CV2026★ 1 cited

Verification Mirage: Mapping the Reliability Boundary of Self-Verification in Medical VQA

Ruinan Jin, Beidi Zhao, Myeongkyun Kang +2

Self-verification, re-invoking the same vision language model (VLM) in a fresh context to check its own generated answer, is increasingly used as a default safety layer for medical…

cs.SD2026

RVCBench: Benchmarking the Robustness of Voice Cloning Across Modern Audio Generation Models

Ruinan Jin, Xinting Liao, Hanlin Yu +2

Modern Voice Cloning (VC) can synthesize speech that closely matches a target speaker from only seconds of reference audio, enabling applications such as personalized speech interf…

cs.CV2026

When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs

Beidi Zhao, Wenlong Deng, Xinting Liao +4

While Retrieval-Augmented Generation (RAG) is one of the dominant paradigms for enhancing Large Vision-Language Models (LVLMs) on knowledge-based VQA tasks, recent work attributes…