Yifan Liu 刘一帆
I'm a PhD student at the University of Illinois Urbana-Champaign, advised by Prof. Dong Wang. I previously earned an M.S. in Computer Science from Georgia Tech and a BSc (Hons) from UCL. I am always happy to discuss my research and explore potential collaborations, so please feel free to reach out if our interests overlap.
Research interests
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LLM & Agent Safety
Misalignment auditing & mitigation; uncertainty quantification in LLMs & multi-agent systems.
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Algorithmic Fairness
Bias measurement & mitigation; balancing fairness and task performance through adaptive interventions in language and vision models.
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Personalization & Generative Retrieval
User modeling & representation learning; personalized language models; generative recommendation & retrieval.
I am seeking U.S.-based research internships for Summer 2027, with a focus on LLM, Agentic AI, and safety.
News
- Our paper on mitigating the fairness steering tax via adaptive inference-time subspace intervention has been accepted to Findings of EACL 2027! 🎉
- One dataset and evaluation track paper and one workshop paper were accepted to NeurIPS 2026! 🎉
- A paper on uncertainty quantification for LLM MAS has been accepted to EMNLP (Main) 2026! 🎉
- A paper on generative recommendation and item tokenization has been accepted to ACM RecSys 2026! 🎉
- Started a research internship at IBM Research. 👁️🐝𝐌
- A paper on cross-module interference in agentic systems has been accepted to the Failure Modes in Agentic AI Workshop at ICML! 🎉
- Two papers on generative recommendation and session-based recommendation were accepted to SIGIR 2026! 🎉
- Two papers on uncertainty estimation and image-generation red-teaming were accepted to WWW 2026!
- A journal paper on reasoning-based uncertainty estimation was accepted to Knowledge-Based Systems! 🎉
- A paper on designing explanations for misinformation detection was accepted to CSCW 2025! 🎉
- A paper on unauthorized individual image-generation protection was accepted to ICCV 2025! 🎉
- A paper on face-component fairness was accepted to ACM FAccT 2025! 🎉
- A paper on multimodal interactive MoE for fake news detection was accepted to WWW 2025! See you in Sydney! 🎉
- Released a new dataset for multidimensional media bias.
- A paper on retrieval-augmented fact verification was accepted to Findings of ACL 2024!
- Started my PhD at UIUC!
Work Experience
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IBM ResearchMay 2026 – Aug 2026Research InternYorktown Heights, NY, USAAttributing and explaining LLM agent actions for safety and accountability.
Publications
Mitigating the Fairness Steering Tax via Adaptive Inference-time Subspace Intervention
Red-Teaming Privacy-Protective Perturbations: Blind Face Restoration as an Attack Strategy
SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments
No publications match this filter.
Education
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University of Illinois Urbana-ChampaignSep. 2023 – PresentPh.D. in Information SciencesAdvisor: Prof. Dong Wang -
Georgia Institute of TechnologySep. 2021 – May 2023M.S. in Computer ScienceAdvisor: Prof. Harish Ravichandar -
University College LondonSep. 2017 – May 2019BSc in Computer ScienceAdvisor: Prof. Mark Herbster
Teaching and Service
- IS 202: Social Aspects of Information Technology — Facilitated discussion sections and graded coursework.
- IS 305: Programming for Information Problems — Graded programming assignments and provided feedback.
- IS 597: Human-Centered Data Science — Designed assignments and delivered concept tutorials.
My Cats 🐾
