Sauce: Selective concept unlearning in vision-language models with sparse autoencoders
J Geng, et al. (2025). "Paper Title." Proceedings of the IEEE/CVF International Conference on Computer Vision.
CV
Education
- University of Stavanger & MSCA CLARIFY — Ph.D., Faculty of Computer Science, Stavanger, Norway
- October 2020 – September 2023
- Thesis Topic: Taking Computation to Data: Integrating Privacy-preserving AI techniques and Blockchain allowing secure analysis of sensitive data on premise
- Advisors: Prof. Chunning Rong & Prof. Martin Gilje Jaatun
- Academic Visits:
- Sept 2022 – Oct 2022: Prof. Hans-Arno Jacobsen, Technical University of Munich, Germany
- May 2022 – July 2022: Prof. Rafael Molina, University of Granada, Spain
- May 2021 – July 2021: Prof. Zhiming Zhao, University of Amsterdam, Netherlands
- RWTH Aachen University — M.S. in Computer Science, Aachen, Germany
- September 2015 – October 2018
- Thesis Topic: Unsupervised Learning of Neural Network Lexicon and Cross-lingual Word Embedding
- Advisor: Prof. Hermann Ney
- Southeast University — B.S. in Automation, Nanjing, China
- September 2011 – June 2015
- Thesis Topic: Automatic Recognition of Road Markings Based on 3D Vision Transformation
- Advisor: Prof. Shihua Li
Work experience
- Spring 2024: Academic Pages Collaborator
- GitHub University
- Duties includes: Updates and improvements to template
- Supervisor: The Users
- Fall 2015: Research Assistant
- GitHub University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Summer 2015: Research Assistant
- GitHub University
- Duties included: Tagging issues
- Supervisor: Professor Git
Skills
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Publications
CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
E Villa-Cueva, S Bolatzhanova, D Turmakhan, J Geng, et al. (2025). "CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation." Findings of the Association for Computational Linguistics: EMNLP 2025.
CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval
J Geng, F Cai, S Cui, Q Li, L Chen, C Lyu, H Li, D Zhu, W Pretschner, et al. (2025). "CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval." arXiv preprint arXiv:2506.11066.
Marco-Bench-MIF: On multilingual instruction-following capability of large language models
B Zeng, C Lyu, S Liu, M Zeng, M Wu, X Ni, T Shi, Y Zhao, Y Liu, C Zhu, et al. (2025). "Marco-Bench-MIF: On multilingual instruction-following capability of large language models." Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics.
HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs
Q Li, J Geng, Z Chen, D Zhu, Y Wang, C Ma, C Lyu, F Karray. (2025). "HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs." ACL 2025 Main.
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
L Gao, J Geng, X Zhang, P Nakov, X Chen. (2025). "Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models." ACL 2025 Main.
VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration
J Geng, Q Li, Z Chen, Y Wang, D Zhu, Z Xie, C Lyu, X Chen, P Nakov, et al. (2025). "VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration." ACL 2025 Findings.
Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities
J Geng, TT Tran, P Nakov, I Gurevych. (2025). "Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities." ACL 2025 Main.
Internal activation revision: Safeguarding vision language models without parameter update
J Geng, et al. (2025). "Paper Title." Proceedings of the 39th AAAI Conference on Artificial Intelligence.
Talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA
Teaching
Service and leadership
- Currently signed in to 43 different slack teams