Yang Shi @DogNeverSleep
👨🏻🎓PhD student at Peking University | 🌠Interested in LLM / MLLM / AI Agent | 🐯 Life's a struggle. Joined July 2024-
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Yang Shi retweeted
Explore how OpenGPT-4o-Image advances multimodal AI by tackling complex tasks like scientific imagery and multi-step editing. Dive into the dataset & paper on Hugging Face: Dataset: huggingface.co/datasets/WINDo… Paper: huggingface.co/papers/2509.24…
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Yang Shi retweeted
🤔Do Unified Models Truly Benefit from Unification🤔 #RealUnify benchmarks *bidirectional capability synergy* between understanding and generation (U->G & G->U) in unified models - Paper: arxiv.org/abs/2509.24897 - Code: github.com/FrankYang-17/R… - Dataset: huggingface.co/datasets/DogNe…
Do unified multimodal models truly benefit from unification? Introducing RealUnify, a new benchmark to assess bidirectional capability synergy between understanding and generation. We find current models still struggle to integrate these abilities effectively.
Yang Shi retweeted
Do unified multimodal models truly benefit from unification? Introducing RealUnify, a new benchmark to assess bidirectional capability synergy between understanding and generation. We find current models still struggle to integrate these abilities effectively.
Yang Shi retweeted
🔥Introducing RealUnify! A comprehensive benchmark for unified models. 👉We present a fundamental question: Do Unified Models truly benefit from unification? 🧐We find current models struggle with synergetic end-to-end unification. 📜Check out our Paper: huggingface.co/papers/2509.24…
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