11 papers
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…
Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning
Ling Chen, Ruinan Jin, Jun Luo +6
Automated radiology report generation (RRG) has gained increasing attention because it can reduce the heavy workload of clinical report writing. However, most existing methods main…
DUCX: Decomposing Unfairness in Tool-Using Chest X-ray Agents
Zikang Xu, Ruinan Jin, Xiaoxiao Li
Fairness in medical agents is becoming critical as tool-using clinical AI systems orchestrate specialized vision and language modules for tasks such as chest X-ray question answeri…
RVCBench: Benchmarking the Robustness of Voice Cloning Across Modern Audio Generation Models
Ruinan Jin, Xinting Liao, Hanlin Yu +2
Modern voice cloning, also known as zero-shot text-to-speech (TTS), can synthesize speech that closely matches a target speaker from only seconds of reference audio, enabling appli…
Forgettable Federated Linear Learning with Certified Data Unlearning
Ruinan Jin, Minghui Chen, Qiong Zhang +1
Federated Learning (FL) enables collaborative model training across distributed clients while preserving user privacy. Recently, Federated Unlearning (FU) has emerged to address th…
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…