3 papers
cs.CL2026
Towards Reliable Medical LLMs: Benchmarking and Enhancing Confidence Estimation of Large Language Models in Medical Consultation
Zhiyao Ren, Yibing Zhan, Siyuan Liang +3
Large-scale language models (LLMs) often offer clinical judgments based on incomplete information, increasing the risk of misdiagnosis. Existing studies have primarily evaluated co…
cs.LG2025
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
Zhiyao Ren, Siyuan Liang, Aishan Liu +1
In-context learning (ICL) has demonstrated remarkable success in large language models (LLMs) due to its adaptability and parameter-free nature. However, it also introduces a criti…
cs.CV2025
Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation
Zhiyao Ren, Yibing Zhan, Baosheng Yu +1
Text-to-image generation has become increasingly popular, but achieving the desired images often requires extensive prompt engineering. In this paper, we explore how to decode text…