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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
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Portfolio item number 2
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publications
Internal activation revision: Safeguarding vision language models without parameter update
Published in Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025), 2024
This paper was accepted to AAAI 2025 conference.
Recommended citation: J Geng, et al. (2025). "Paper Title." Proceedings of the 39th AAAI Conference on Artificial Intelligence.
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Con Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities
Published in ACL 2025 Main, 2025
This paper presents a universal jailbreaking method for multimodal large language models using non-textual modalities.
Recommended citation: 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.
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VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration
Published in ACL 2025 Findings, 2025
This paper introduces VSCBench, a comprehensive benchmark for evaluating safety calibration in vision-language models.
Recommended citation: 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.
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Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
Published in ACL 2025 Main, 2025
This paper explores methods for understanding and defending against jailbreak attacks in large language models.
Recommended citation: 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.
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HD-NDEs: Neural Differential Equations for Hallucination Detection in LLMs
Published in ACL 2025 Main, 2025
This paper introduces HD-NDEs, a novel approach using neural differential equations for detecting hallucinations in large language models.
Recommended citation: 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.
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Marco-Bench-MIF: On multilingual instruction-following capability of large language models
Published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), 2025
This paper presents Marco-Bench-MIF, a benchmark for evaluating multilingual instruction-following capabilities of large language models.
Recommended citation: 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.
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CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval
Published in arXiv preprint, 2025
This paper presents CoQuIR, a comprehensive benchmark for evaluating code quality-aware information retrieval systems.
Recommended citation: 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.
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CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
Published in Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
This paper introduces CaMMT, a benchmark for evaluating culturally aware multimodal machine translation systems.
Recommended citation: 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.
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Sauce: Selective concept unlearning in vision-language models with sparse autoencoders
Published in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2025), 2025
This paper was accepted to ICCV 2025 conference.
Recommended citation: J Geng, et al. (2025). "Paper Title." Proceedings of the IEEE/CVF International Conference on Computer Vision.
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talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.