We're thrilled to have this incredible, independently-made video for the TinyHelen paper, thanks to the Discover AI YouTube channel!🏂🏂🏂 youtube.com/watch?v=TU19Or…

Excited to announce that our web agent paper, AgentOccam, has been accepted to ICLR 2025! 🏂🏂🏂 Huge thanks to all collaborators! 😊 Special thanks to my brilliant and considerate mentor, Yao Yao Liu, for your constant guidance and encouragement! Sapana Sapana Chaudhary and Rasool

💡 How can we describe a graph to LLMs ? 🧐 For example, G(n, p) uses number of nodes and connection probability to describe a graph. 📑 Please check out our survey, What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs arxiv.org/pdf/2410.12126

🔍New findings of knowledge overshadowing! Why do LLMs hallucinate over all true training data? 🤔Can we predict hallucinations even before model training or inference? 🚀Check out our new preprint: [arxiv.org/pdf/2502.16143] The Law of Knowledge Overshadowing: Towards

Congrats, Eric, for getting your first-author paper accepted to ACL 2025 as an undergrad! 🤯

🚀 Excited to share GUI-Actor—a new approach for GUI grounding! Big thanks to AK for featuring our work! 🌐 Project page: microsoft.github.io/GUI-Actor/ 📜 Paper: arxiv.org/pdf/2506.03143 🤔 What's limiting coordinate generation-based GUI grounding? 1️⃣ Weak spatial-semantic

What happens when AI agents become autonomous actors in the economy? This paper, Ten Principles of AI Agent Economics, offers a structured framework to help us think through that future... one where AI agents don’t just assist, but decide, compete, and collaborate in human

🧠Let’s teach LLMs to learn smarter, not harder💥[arxiv.org/pdf/2506.06972] 🤖How can LLMs verify complex scientific information efficiently? 🚀We propose modular, reusable atomic reasoning skills that reduce LLMs’ cognitive load to verify scientific claims with little data.

🎓 [Talk] AgentOccam: Enhancing Web Agent Performance via Observation-Action Space Alignment 🧠 This work was completed mid 2024 at Amazon. 🗣️ Full talk in Chinese. 📺 Watch here: bilibili.com/video/BV1Eouqz… #AI #WebAgents #UIUC #Amazon #MachineLearning