My current research focuses on LLM (Large Language Model) safety, agentic AI for software engineering, and embodied tasks, with particular interest in robot learning. I welcome students interested in AI research to contact me, especially students from Linköping University, for discussion and potential publications.
Jiahui Geng
I am a tenure-track assistant professor. My research interests center on the safety, trustworthiness, and alignment of LLMs, as well as agentic AI. I aim to build AI that can reason and collaborate in software engineering and embodied tasks.
Presentation
Publications
Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities
DOI: 10.18653/v1/2025.acl-long.146
Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language
DOI: 10.18653/v1/2025.acl-long.1172
VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration
DOI: 10.18653/v1/2025.findings-acl.158
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
DOI: 10.18653/v1/2025.acl-long.1233
HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs
DOI: 10.18653/v1/2025.acl-long.309
DOI: 10.18653/v1/2025.acl-long.146
Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language
DOI: 10.18653/v1/2025.acl-long.1172
VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration
DOI: 10.18653/v1/2025.findings-acl.158
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
DOI: 10.18653/v1/2025.acl-long.1233
HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs
DOI: 10.18653/v1/2025.acl-long.309
