image-title-here

Jinlan Fu

  • Research Fellow @ NUS-CS
  • jinlanjonna@gmail.com
  • NUS Innovation 4.0 Rm 406
  • NLP/ML/Multimodal

About Me

I am a postdoctoral researcher at the National University of Singapore, working with Prof. See-Kiong Ng. I earned my Ph.D. in Computer Science from Fudan University (Sep 2016 – Jul 2021), under the supervision of Prof. Xuanjing Huang and Prof. Qi Zhang . My research interests include:

  • Trustworthiness: How can we make MLLMs/LLMs more reliable and factual? Key aspects include mitigating hallucinations, biases, and unsafe or malicious behavior, ensuring alignment with human values and expectations, and enhancing interpretability.

  • Multimodal Foundation Models: Encompassing both generation and understanding of text, images, video, and audio.

My research has been published in top-tier NLP, ML, and CV conferences, including ICLR, CVPR, ACL, EMNLP, NAACL, SIGIR, WWW, WSDM, AAAI, and IJCAI. I have received the ACL Best Demo Paper Award and the ACL Outstanding Demo Paper Award. I regularly serve as an Area Chair for NLP conferences (ACL, EMNLP, NAACL, etc) and as a Senior Program Committee member for AI conferences. My Ph.D. thesis was awarded the Excellent Doctoral Thesis of Chinese Information Processing Society (CIPS).

Advertising

I am constantly seeking collaborators on above topics, both locally and remotely. For highly self-motivated and promising students, I will provide GPU support. The available GPU support options include academic internships at Chinese companies (on-site), academic internships at Singaporean universities, or CSC joint PhD programs (on-site), as well as other potential online collaboration opportunities. If you are interested in my research topics, please email me with your research status and resume.

Selected Papers

  1. CHiP: Cross-modal Hierarchical Direct Preference Optimization for Multimodal LLMs, Jinlan Fu, Shenzhen Huangfu, Hao Fei, Xiaoyu Shen, Bryan Hooi, Xipeng Qiu, See-Kiong Ng, in ICLR, 2025.
  2. Safe Inputs but Unsafe Output: Benchmarking Cross-modality Safety Alignment of Large Vision-Language Models, Siyin Wang, Xingsong Ye, Qinyuan Cheng, Junwen Duan, Shimin Li, Jinlan Fu*, Xipeng Qiu*, Xuanjing Huang, in NAACL, 2025.
  3. Multi-layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices, Junyan Lin, Haoran Chen, Yue Fan, Yingqi Fan, Xin Jin, Hui Su, Jinlan Fu*, Xiaoyu Shen*, in CVPR, 2025.
  4. GPTScore: Evaluate as You Desire, Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu, in NAACL, 2024. (Highly Cited: 475)
  5. Polyglot Prompt: Multilingual Multitask PrompTraining, Jinlan Fu, See-Kiong Ng, Pengfei Liu, in EMNLP, 2023.

Recent News

•   03 Mar 2025: I will be attending ICLR (Singapore, April 24–28, 2025) and CVPR (Nashville, TN, USA, June 11–15, 2025).

•   27 Feb 2025: Two papers have been accepted to CVPR 2025: one focuses on Safety Preference Alignment Dataset for MLLM, and the other explores Visual Feature Fusion in MLLM. Congratulations to Junyan Lin (co-supervised with Professor Xiaoyu Shen.)

•   16 Feb 2025: Serving as an Area Chair for ACL 2025 (ARR February Cycle).

•   07 Feb 2025: One paper about Omnipotent Dialogue System was accepted to TASLP (Journal). Congratulations to Mingtao Yang.

•   23 Jan 2025: One paper about Cross-modal Safety Alignment was accepted to NAACL 2025. Congratulations to Siyin Wang (co-supervised with Professor Xipeng Qiu).

•   22 Jan 2025: One paper about MLLM Alignment via DPO was accepted to ICLR 2025.