TIGER Lab
In Chinese, our lab is named "虎头帮".
This is the official website for TIGER AI Lab (https://wenhuchen.github.io/lab).
Welcome to the Text and Image GEnerative Research (TIGER) Lab at the University of Waterloo. Our lab is dedicated to enabling more controllable and faithful generation of both text and images.
Our primary goal is to advance GenAI (Generative Artificial Intelligence) and make it more applicable to society. We believe in the transformative potential of AI and strive to develop innovative solutions that can revolutionize the way we create digitalized content. Our research focuses on a variety of topics within the realm of GenAI, including but not limited to:
- Text generation
- Image and Video Generation
- Multi-modal Retrieval and Grounding
- Improving Reasoning and Planning in GenAI
- Controllability in GenAI
- Evaluation in GenAI
We are a dynamic team of dedicated researchers and faculty members. Our team is constantly growing and we welcome individuals who share our passion for advancing GenAI.
Our work has been published in several esteemed journals and conferences. You can find a list of our publicationshere).
Our dataset, checkpoints and demo are all being released underTIGER-Lab.
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TIGER-AI-Lab/General-Reasoner’s past year of commit activity - MMLU-Pro Public
The code and data for "MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark" [NeurIPS 2024]
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TIGER-AI-Lab/QuickCodec’s past year of commit activity - ImagenWorld Public
Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks
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TIGER-AI-Lab/ImagenWorld’s past year of commit activity
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