🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

🚀 Excited to co-organize the Workshop on Computer Use Agents (CUA) at #ICML2025 in Vancouver! This workshop takes a comprehensive look at computer use agents—covering learning algorithms, orchestration, interfaces, safety, benchmarking, applications, and more. We’re also

A comprehensive survey on AI agents, with some interesting discussion on the connection to biological intelligence. It's not perfect yet because this is such a complex subject, but it's a start.

LLMs exhibit the Reversal Curse, a basic generalization failure where they struggle to learn reversible factual associations (e.g., "A is B" -> "B is A"). But why? Our new work uncovers that it's a symptom of the long-standing binding problem in AI, and shows that a model design

🔧What if your web agent could abstract its experience into programmatic skills—and improve itself autonomously? 🌟 Introducing SkillWeaver: a framework to enable self-improvement through autonomous exploration and constructing an ever-growing library of programmatic skills. 🧠

It's a great honor to give a keynote at the Molecule Maker Lab Institute symposium at UIUC! Many thanks to Prof. Heng Ji and Prof. Jiawei Han for invitation. The symposium’s theme this year is “AI scientist? What would it take?”, which I hold close to heart and made a talk titled “Language

I will miss #NAACL2025 unfortunately, but please check out our work on chemistry agents, "ChemToolAgent: The Impact of Tools on Language Agents for Chemistry Problem Solving" today (May 1) during 2:00-3:30pm (local time) at Hall 3, Poster Session 5! Some updates: We have renamed

Proud moment for CSE! Prof. Huan Sun (OSU) has been awarded funding from @SchmidtSciences' for AI Safety initiative — a first for Ohio State. Her work will help defend AI agents from adversarial attacks. engineering.osu.edu/news/2025/05/h…

Tired of editing methods that require training, handcrafted subjects, or external memory? 🚀 #UltraEdit — Training-, subject-, and memory-free, for Lifelong Model Editing Compare to the prior best ✅New SOTA on 4 datasets and 6 models 🏎️7× faster – 20K samples within 5 mins on a

🚀 Thrilled to unveil the most exciting project of my PhD: Explorer — Scaling Exploration-driven Web Trajectory Synthesis for Multimodal Web Agents TL;DR: A scalable multi-agent pipeline that leverages exploration for diverse web agent trajectory synthesis. 📄 Paper:

Realistic adversarial testing of Computer-Use Agents (CUAs) to identify their vulnerabilities and make them safer and more secure is … hard. Is Anthropic Claude 4 Opus more robust to indirect prompt injection than previous versions like Claude 3.7? Not really. Why hard?

🔬 Introducing ChemMCP, the first MCP-compatible toolkit for empowering AI models with advanced chemistry capabilities! In recent years, we’ve seen rising interest in tool-using AI agents across domains. Particularly in scientific domains like chemistry, LLMs alone still fall

It’s so exciting to see BioCLIP 2 demonstrates a biologically meaningful embedding space while only trained to distinguish species. Can’t wait to see more applications of BioCLIP 2 in solving real world problems. I’m attending #CVPR2025 in Nashville. Happy to chat about it!