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Yichuan Wang
@YichuanM
2nd-year eecs phd @ uc berkeley (skylab, bair). mlsys. creator of leann: sjtu acm class alum.
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PixelRAG is finally live on arXiv after being stuck on hold for three weeks. Hope you all enjoy it!
Try our new image browsing plugin for Claude Code, built by the legend @andylizf 🚀 It started as the ultra-efficient screenshot crawling pipeline we built for PixelRAG. Turns out screenshot-based browsing is often more token-efficient, more accurate, and preserves layouts/tables/images better than text-only browsing. Now you can plug it directly into Claude Code with one command. Code: Install: uv tool install pixelrag Give it a try and let us know what you build! 🔥
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LEANN just won the Best Paper Award at #MLSys26# 🥹 still processing this. paper: repo: huge thanks to all the amazing collaborators, advisors, and open-source contributors who made this possible ❤️
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Today I shared some personal practice use cases (for research and maintaining open-source) of Claude Code at @BerkeleySky, UC Berkeley. Here is the link to the presentation: Some personal hot takes/ discussion conclusions: 1. IDEs might not be the eventual best way to interact with code. CLI-based agents require less human supervision and scale better (compared to tools like Cursor). People may eventually only review the PR rather than the intermediate coding steps (even more aggressive!). 2. Whether a problem can be solved (the boundary!) by coding agents (today) largely depends on whether there is a clear signal for the task. For example, @karpathy’s autosearch is relatively easy because the signal is clean, a very good example. (Good news for researchers: coding agents still struggle with open-ended questions. So… our jobs are probably safe for a little while.) 3. Human supervision is the bottleneck. Designing agent products that minimize human effort while leveraging humans’ advantage in context switching is a very interesting direction.
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