Jiahui Geng
Assistant Professor
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
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.
Publications
2026
Forgotten Horizons in Concept Erasure: Safeguarding Close-Proximity Concepts in Text-to-Image Models
IEEE Transactions on Information Forensics and Security, Vol. 21, p. 7202-7214
(Article in journal)
https://dx.doi.org/10.1109/TIFS.2026.3714133
知识外化:多模态大型语言模型中的可逆遗忘和模块化检索
第十四届国际学习表征会议
(Conference paper)
CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
(Conference paper)
虚假奖励悖论:从机制上理解 RLVR 如何激活 LLM 中的记忆捷径
第43届国际机器学习大会
(Conference paper)
LongSpeech:用于长语音转录、翻译和理解的可扩展基准测试 [LongSpeech: A Scalable Benchmark for Transcription, Translation and Understanding in Long Speech]
ICASSP 2026 - 2026 年 IEEE 国际声学、语音和信号处理会议 (ICASSP), p. 15547-15551
(Conference paper)
https://dx.doi.org/10.1109/ICASSP55912.2026.11461821
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