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Yichuan Wang
515 posts
@YichuanM

Yichuan Wang

@YichuanM
2nd-year eecs phd @ uc berkeley (skylab, bair). mlsys. creator of leann: github.com/yichuan-w/leann sjtu acm class alum.
yichuan-w.github.io
Joined May 2021
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  • Pinned
    @YichuanM
    Yichuan Wang
    @YichuanM
    Aug 6
    Zero Train–Inference Mismatch — now for linear attention, and under async RL 🎯 We got bitwise-exact trainer/generator parity for Gated DeltaNet (Qwen3.5-9B / 35B-A3B) on TorchTitan RL + vLLM, then asked the question nobody had actually tested in open source: does it help async
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  • @YichuanM
    Yichuan Wang
    @YichuanM
    Sep 4
    Huge congrats @lmxyy1999 and the team on the launch!! 🚀🔥 Massive market, tons of room for innovation, excited to see where this goes!
    @NunchuxAI
    Nunchux AI
    @NunchuxAI
    Sep 3
    Nunchux is live at nunchux.ai! We’re building the frontier of multimodal generative AI inference: fast, affordable, high-quality serving for image, video, and world models. Our Modelverse brings 30+ image, video, and avatar models behind one API. Use
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  • @YichuanM
    Yichuan Wang
    @YichuanM
    Aug 31
    Join us at the PyTorch Conference for PyTorch-native agentic RL for long-horizon agents! 🔥 Built from scratch over the past few months, with open-source data, open-source infrastructure, and open-source models.
    @PyTorch
    PyTorch
    @PyTorch
    Aug 31
    Ready to tackle the systems challenges of Agentic Reinforcement Learning? @YichuanM and @shuhuayu_ will share how to train agents that can runs hundreds of turns along with the infrastructure and training recipe to make it scalable and reproducible at PyTorch Conference North
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  • @YichuanM
    Yichuan Wang
    @YichuanM
    Jul 23
    LLM as world model to design @Arsenal favorite corner kick routine
    @karun1710
    Karun Singh
    @karun1710
    Jul 23
    We're hiring a Research Engineer at @Arsenal ⚽🔴⚪ to work directly with our Men's First Team! We're building state-of-the-art AI models for the football domain. This role will focus on building the application layer for our research to advance coaching and analysis workflows.
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  • @YichuanM
    Yichuan Wang
    @YichuanM
    Jul 23
    The next hill to climb is super long-horizon tasks. They’re still incredibly hard, especially for open-source models. GLM and Kimi are both still scoring below 5, but I’m sure they’ll catch up soon.
    @ryan_marten
    Ryan Marten
    @ryan_marten
    Jul 23
    We’re releasing Frontier-Bench: a benchmark that measures and evolves with the frontier of agent work. Built by the team behind Terminal-Bench and Harbor, Frontier-Bench is an on-going community effort. Frontier-Bench v0.1 contains 74 tasks on which the best agents score ~34%
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