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

Fei Yang, Xuanfan Ni, Renyi Yang, Jiahui Geng, Qing Li, Chenyang Lyu, Yichao Du, Longyue Wang, Weihua Luo, Kaifu Zhang (2026)

LongSpeech：用于长语音转录、翻译和理解的可扩展基准测试 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

Yuxia Wang, Rui Xing, Jonibek Mansurov, Giovanni Puccetti, Zhuohan Xie, Minh Ngoc Ta, Jiahui Geng, Jinyan Su, Mervat Abassy, Saadeldine Eletter, Kareem Elozeiri, Nurkhan Laiyk, Maiya Goloburda, Tarek Mahmoud, Raj Vardhan Tomar, Alexander Aziz, Ryuto Koike, Masahiro Kaneko, Artem Shelmanov, Ekaterina Artemova, Vladislav Mikhailov, Akim Tsvigun, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov (2026)

Is Human-Like Text Liked by Humans?: Multilingual Human Detection and Preference Against AI Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), p. 14043-14076 (Conference paper)

https://dx.doi.org/10.18653/v1/2026.acl-long.639

Jiahui Geng, Cai Fengyu, Cui Shaobo, Li Qing, Chen Liangwei, Lyu Chenyang, Li Haonan, Zhu Derui, Pretschner Alexander, Koeppl Heinz, Karray Fakhri (2026)

CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval (Conference paper)

2025

Jiahui Geng, Thy Thy Tran, Preslav Nakov, Iryna Gurevych (2025)

Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (Conference paper)

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

Research

robot dog Spot, drone, small helicopter, operator

WASP at Department of Computer and Information Science

WASP, Wallenberg AI autonomous systems and software program, is the largest individual research investment in Sweden in modern times. One of the WASP research environments at LiU is located at the Department of Computer and Information Science.

TrustLLM - trustworthy, open and sustainable language model for European languages

TrustLLM is a European project coordinated by Linköping University. The project will develop a language model for European languages including Swedish and is to benefit citizens and industry alike.

About the division

The robotdog Spot hands over a first aid kit to a kneeling man

Artificial Intelligence and Integrated Computer Systems (AIICS)

The AIICS division is part of the Department of Computer and Information Science. The division's main focus is research and teaching in artificial intelligence, its theoretical foundations and its applications.

Colleagues at AIICS