Yanbo Wang is currently a Research Intern at MBZUAI, supervised by Prof. Xiuying Chen. I also collaborate with MINE Lab at the University of Notre Dame, under the guidance of Prof. Xiangliang Zhang and in close collaboration with Yue Huang (PhD Candidate), which has been an incredibly rewarding experience. My research interests include LLM Reasoning and Generative Foundation Models.

I am actively seeking a PhD position starting in Fall 2026.

🔥 News

• 2025.01:  🎉🎉 One paper has been accepted by ICLR 2025. Congratulations to Jiayi and Yue!
• 2024.09:  🎉🎉 Two papers have been accepted by NeurIPSW 2024!

📝 Publications

ICLR 2025

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Jiayi Ye*, Yanbo Wang*, Yue Huang*, Dongping Chen, Qihui Zhang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang (*: Equal contribution)

In submission

Breaking Focus: Contextual Distraction Curse in Large Language Models

Yanbo Wang*, Zixiang Xu*, Yue Huang*, Chujie Gao, Siyuan Wu, Jiayi Ye, Xiuying Chen, Pin-Yu Chen, Xiangliang Zhang (*: Equal contribution)

Accepted at NAACL 2025 Demo

TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models

Yanbo Wang*, Jiayi Ye*, Siyuan Wu*, Chujie Gao, Yue Huang, Xiuying Chen, Yue Zhao, Xiangliang Zhang (*: Equal contribution)

• UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation Qihui Zhang, Munan Ning, Zheyuan Liu, Yanbo Wang, Jiayi Ye, Yue Huang, Shuo Yang, Xiao Chen, Yibing Song, Li Yuan
  Accepted at CVPR 2025
  

• Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models Zixiang Xu*, Yanbo Wang*, Yue Huang*, Xiuying Chen, Jieyu Zhao, Meng Jiang, Xiangliang Zhang (*: Equal contribution)
  In submission
  

• On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, etc.

• AutoBench-V: Can Large Vision-Language Models Benchmark Themselves? Han Bao*, Yue Huang*, Yanbo Wang*, Jiayi Ye*, Xiangqi Wang, Xiuying Chen, Mohamed Elhoseiny, Xiangliang Zhang (*: Equal contribution)
  Accepted at SFLLM Workshop @ NeurIPS 2024
  

🎖 Honors and Awards

• 2024.10 2nd Place, IEEE CS North America Student Challenge 2024 (Kaggle)
• 2024.10 Bronze Medal, The 2024 CCF CCSP National Programming Contest
• 2024.06 Gold Medal (Second Place), The 16th ICPC Sichuan Provincial Collegiate Programming Contest
• 2024.05 Silver Medal, The 2024 ICPC China Wuhan National Invitational Contest Wuhan University

💻 Internships

• 2024.07 - now, Research Intern at University of Notre Dame