Hello! I’m Baiqi Li, a PhD student in Computer Science at the University of North Carolina at Chapel Hill (Fall 2025 – present), advised by Gedas Bertasius. My research focuses on video reasoning, video generation, and embodied AI. Before joining UNC, I was fortunate to work with Deva Ramanan at Carnegie Mellon University.

News

Publications

WatchAct: A Benchmark for Behavior-Grounded Robot Manipulation arXiv

Baiqi Li, Ce Zhang, Yu Fang, Yue Yang, Shangzhe Li, Mingyu Ding, Gedas Bertasius

Website | arXiv | Code | HuggingFace

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TimeBlind: A Spatio-Temporal Compositionality Benchmark for Video LLMs arXiv

Baiqi Li, Kangyi Zhao, Ce Zhang, Chancharik Mitra, Jean de Dieu Nyandwi, Gedas Bertasius

Website | arXiv

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NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples NeurIPS

Baiqi Li*, Zhiqiu Lin*, Wenxuan Peng*, Jean de Dieu Nyandwi*, Daniel Jiang, Zixian Ma, Simran Khanuja, Ranjay Krishna †, Graham Neubig †, Deva Ramanan †

Website | arXiv | HuggingFace | Evaluation Code

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Evaluating Text-to-Visual Generation with Image-to-Text Generation ECCV

Zhiqiu Lin, Deepak Pathak, Baiqi Li, Emily Li, Xide Xia, Graham Neubig, Pengchuan Zhang †, Deva Ramanan †

Website | arXiv | code

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GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation Best Paper at SynData4CV

Baiqi Li*, Zhiqiu Lin*, Deepak Pathak, Emily Li, Feiyi Xin, Kewen Wu, Tiffany Ling, Xide Xia †, Pengchuan Zhang †, Graham Neubig †, Deva Ramanan †

Website | arXiv | HuggingFace

Research Experience

  • 2025.08 – present, PhD Student, University of North Carolina at Chapel Hill.
  • 2024.01 – 2025.06, Research Assistant, Carnegie Mellon University.

Others

  • Teaching Assistant, COMP 669: Vision Transformers, Fall 2026.
  • Teaching Assistant, COMP 577: Introduction to Computer Vision, Fall 2026.
  • Reviewer: NeurIPS, ICLR, ICML, CVPR, ECCV, etc.