Ke Yang

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@EmpathYang

Currently interning @GoogleCloud | CS Ph.D. @ UIUC | BEng from THU | ex-intern @Amazon & @MSFTResearch

empathyang.github.io Joined October 2022

1 Following 592 Followers 147 Posts

Latest posts 5

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Ke Yang @EmpathYang Oct 9

🤔 AI agents can do a lot once you give them a task. Can they also figure out what’s worth doing and get started before being asked?

🏫 That’s the question behind Proactive AI for Superintelligent Agents, our joint survey by researchers from UIUC, Google, Stanford, UC Berkeley, and CMU. Our backgrounds span AI agents, embodied AI, information retrieval, computational biology, economics, and finance.

🕵 As finding papers gets cheaper, we think a survey’s value increasingly comes from hard-earned research intuition: knowing what matters and what to try next. Contributors drafted the sections closest to their own research, then refined them through several rounds of discussion and revision across research backgrounds.

📃 Paper: empathyang.github.io/Proactive-AI-f…
🌎 Website: empathyang.github.io/Proactive-AI-f…
💼 Google Research: research.google/pubs/proactive…

More in the video below 👇

1:36

Ke Yang @EmpathYang 5d

Reverse engineering anything for scalable web agent environments! 🚀

Zhaoyang Wang Verified account @zhaoywang_CS 5d

⚓ WebHarbor⚓ Introducing the largest open-source environment resources for GUI Web Agents!

🌐 153 real-world websites (Amazon, GitHub, Booking, YouTube, ...)
🎯 3,518 tasks, including complex multi-step and authenticated workflows
🤖 Built for reproducible evaluation and scalable RL training

We started with just 15 environments in May 2026. Today, thanks to 57 contributors from 26 institutions, we've scaled to 153 high-fidelity, image-rich environments—the largest open-source collection of its kind, to our knowledge! 🔥

And they're all executable, offline, and fully open-source!
👀 Explore the environments now: aiming-lab.github.io/WebHarbor/

Why did we build it, and how? 🧵👇 Threads 1/5

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Ke Yang @EmpathYang Nov 2

Great to see this direction growing! 😊

StudentSim,
#1 HF Paper of the Day, a NeurIPS ’26 UserSim Spotlight, and featured by Microsoft Research,
Uses personalized student simulators to improve AI tutors.

Really happy to see more work in this space! 🙌

microsoft.github.io/StudentSim/

humans& @humansand Oct 30

Introducing Ampersand Tutor (&Tutor) - we trained a model to learn like people, then trained &Tutor to teach it

On a widely-used tutor model eval, &Tutor performed best, showing how better models of people can help build AI for humans

Available through our API - try it!

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Ke Yang @EmpathYang Oct 29

Happy to share that our StudentSim paper has been selected for a 🌟 Spotlight presentation at the UserSim Workshop @ NeurIPS 2026 in Paris!

Many thanks to my collaborators and advisors for their support!

📄 Paper: arxiv.org/abs/2609.01591
💻 Code: github.com/microsoft/Stud…

arxiv.org StudentSim: Training LLM-based Student Simulators AI tutors are most useful when they adapt to each student's strengths, weaknesses, and preferred guidance, but evidence about which guidance works for which student is sparse, slow, and costly to...

Ke Yang @EmpathYang Oct 21

Proactive AI is undoubtedly the future of AI agents.

Exciting to see Anthropic’s Claude moving in this direction with proactive agents!

We recently explored proactive AI for superintelligent agents in our latest survey with Google, Stanford, UCB and CMU. Check it out: research.google/pubs/proactive…

research.google Proactive AI for Superintelligent Agents

Claude Verified account @claudeai Oct 21

We’re opening a research preview of Claude Duet, a new app where Claude works as a proactive agent.

It comes to you with what needs your attention, completes tasks you ask of it, keeps working when you step away, and checks with you before it acts on your behalf.

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