William Yijiang Li

@Williamiumli

Ph.D. student @UCSanDiego, M.S. in CS @JohnsHopkins

San Diego, CA

williamium3000.github.io

Joined April 2023

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364 Followers

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William Yijiang Li
@Williamiumli
Aug 11
🚀 New paper alert: On-Policy Self-Distillation without Any Supervision !! 🧠 Can a model truly on-policy “self-distill"? On-policy self-distillation removes the need for a stronger teacher, but still relies on an external ground-truth solution to make the self-teacher more
William Yijiang Li
@Williamiumli
Oct 21
lol
Zaid Khan
@codezakh
Oct 21
I thought ppl were exaggerating about ICLR slop deluge but I legitimately had a paper in my ICLR batch containing meta commentary from the authoring LLM saying that the results in the paper do not match the paper's claims and are not statistically significant LMAO
William Yijiang Li
@Williamiumli
Oct 20
Thanks @HuggingPapers for featuring our work. The idea is simple: instead of making all sophisticated, specialized encoders for 3D repr, why not just do as humans do by preserving the native vision interface of VLMs and enabling them the ability to search and explore. And we
DailyPapers
@HuggingPapers
Oct 19
Act3D learns to think and explore in 3D A VLM is given one image, then uses outcome-only RL to decide when and how to move the camera and gather evidence. 53.2% average across six 3D benchmarks, +22% over its Qwen base and above Gemini 3.6 Flash.
William Yijiang Li
@Williamiumli
Oct 19
Are static benchmarks enough to evaluate VLMs in the real world? 🤔 In our #NeurIPS2026 paper, we move beyond traditional static benchmarks and introduce CEDI: Give AI an oral exam ! We introduce CEDI, a framework that evaluates VLMs through dynamic, contextualized,
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William Yijiang Li
@Williamiumli
Oct 17
Take a look at what our 3DCodeVerse Harness can do. We literally recreate @Tesla Roadster demo 🚀🏎️ with only code generated by LLMs. Maybe next time one can just use LLM coding to release the product :) @elonmusk 👀👇
William Yijiang Li
@Williamiumli
Oct 16
00:41
🚀 Excited to share 3DCodeVerse: Exploring 3D Worlds as Code! What if we could generate entire 3D worlds through executable code—fully editable, verifiable, and reusable? We introduce 3DCodeVerse, a research ecosystem for scalable 3D generation with coding agents: 📦 2.03M
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