Prof. Manling Li Manling Li MLL Lab is doing cutting-edge work on multimodal agentic AI models. She has many openings for students and interns available: mll-lab-nu.github.io

We are very excited announcing our MLL lab! We are looking for collaborators on RAGEN, VAGEN, Chain-of-experts, T*, LongVideoHaystack, foundation models for embodied agents, etc mll-lab-nu.github.io

🚀 Although #ICLR2025 is wrapping up, we’re just getting started! Join us for the 🔥𝐑𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐋𝐋𝐌𝐬 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩🔥 — all day Monday, April 28! 🎤 Keynotes & panels from distinguished researchers at Meta, OpenAI, DeepMind, Oxford,

Not at 🚀 #ICLR2025, but do not miss the 🔥𝐑𝐞𝐚𝐬𝐨𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠 𝐟𝐨𝐫 𝐋𝐋𝐌𝐬 𝐖𝐨𝐫𝐤𝐬𝐡𝐨𝐩@ICLR2025, putting together by my amazing co-organisers on April 28! Zhiyuan Xidong Feng Canyu Chen Pang Wei Koh Yilun, Min-Yen, Jiaying , Nouha, Arman, Bryan

Our « LLM reasoning and planning » workshop is happening in an hour 8:30am. Come join us for a full day filled with insightful reasoning lessons 🔥🔥 📍where?? Garnet 212-213

🚨 New Blog Drop! 🚀 "Reflection on Knowledge Editing: Charting the Next Steps" is live! 💡 Ever wondered why knowledge editing in LLMs still feels more like a lab experiment than a real-world solution? In this post, we dive deep into where the research is thriving — and where

Check out our recent reflection on knowledge editing! Any discussions and comments are welcome!

What is key of agent decision making? Is there a decision making boundary? I am always thinking of the potential boundary of correct decision making and the uncertainty of this boundary. The alignment of decision making boundary and tool-use boundary led by @WangCarrey

1/ 🔥 AI agents are reaching a breakthrough moment in cybersecurity. In our latest work: 🔓 CyberGym: AI agents discovered 15 zero-days in major open-source projects 💰 BountyBench: AI agents solved real-world bug bounty tasks worth tens of thousands of dollars 🤖

Excited to visit UC Berkeley this summer, hosted by Prof. Dawn Song. Happy to catch up if you are around!

MindCube is the result of a joint effort of Northwestern Engineering Stanford AI Lab Stanford HAI Stanford Vision and Learning Lab NYU Courant Allen School. Huge thanks to project leader Qineng Wang Baiqiao Yin and our incredible team Fei-Fei Li Jiajun Wu Saining Xie Ranjay Krishna @HanLiu WilliamZhang

Join us at Agentic AI Summit 2025 — August 2 at UC Berkeley, with ~2,000 in-person attendees and the leading minds in AI. Building on the momentum of the 25K+ LLM Agents MOOC community, this is the largest and most cutting-edge event on #AgenticAI. As 2025 emerges as the Year of

Excited to speak at today's Agentic AI Summit! Happy to catch up if you also attend! 📍 Frontier Stage 📅4:50pm PT "Lightning Talks" Session 🔗Project website: agent-trust.camel-ai.org 🔗Slides: drive.google.com/file/d/1zC2hm0…

Honored to be named as MIT TR 35 Under 35 MIT Technology Review. Couldn’t have done this without the best PhD advisor Heng Ji, my academic home Siebel School of Computing and Data Science, and the most supportive postdoc mentors Jiajun Wu Fei-Fei Li Stanford AI Lab Stanford HAI, my forever mentor Shih-Fu Chang,