🔥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

SYMBOLIC-MOE adaptively selects expert LLMs per instance using skill-based routing. An aggregator then synthesizes outputs. 📌 Skill-based routing enables fine-grained expert selection, adapting to instance-level skill demands within tasks. 📌 Symbolic Mixture-of-Experts

🎉 Excited to announce that VideoTree has been accepted to #CVPR2025 ! Check out our camera-ready for new results on: 1️⃣ Extra-long (~44min) video understanding (Video-MME, MLVU) 2️⃣ Efficiency-Effectiveness analysis: VideoTree has better performance at a lower cost 3️⃣ VideoTree

🚨 Introducing VEGGIE 🥦—a unified, end-to-end, and versatile instructional video generative model. Current video editing methods struggle with: 1. Understanding direct user instructions 2. Handling diverse editing skills in one model 3. balancing multiple training

🌟Meet SpatialAgent: an AI agent for spatial biology (a key tech to understand cancer and develop therapies) It rocks from experiment design to data analysis to hypothesis generation. It supports multi-organs, spans species, and can work alone or team up with human scientists🧑‍🔬

🚨Announcing TaCQ 🚨 a new mixed-precision quantization method that identifies critical weights to preserve. We integrate key ideas from circuit discovery, model editing, and input attribution to improve low-bit quant., w/ 96% 16-bit acc. at 3.1 avg bits (~6x compression)

✈️ Excited to share that I'll be presenting three (co-)first-authored papers at #ICLR2025 this Thursday and Friday! Huge thanks to all the amazing collaborators, friends, and colleagues who made this possible. 💪 Looking forward to seeing everyone at the poster sessions and

I will be presenting ✨Reverse Thinking Makes LLMs Stronger Reasoners✨at #NAACL2025 ! We show that LLM can also benefit from reverse thinking -- a technique we often use to reason from a problem to a solution: - Improvements across 12 datasets - Outperforms SFT with 10x more

🔥 BIG CONGRATS to Elias + UT Austin! Really proud of you -- it has been a complete pleasure to work with Elias and see him grow into a strong PI on *all* axes 🤗 Make sure to apply for your PhD with him -- he is an amazing advisor and person! 💙

Starting this Fall, I’ll be joining the Computer Science Department at Emory University as an assistant professor. My group will focus on 3D computer vision and graphics, working on human digitization, 3D/4D reconstruction, manipulation, generative AI, AR/VR, and telepresence.

Sharing some personal updates 🥳: - I've completed my PhD at UNC Computer Science! 🎓 - Starting Fall 2026, I'll be joining the Computer Science dept. at Johns Hopkins University (JHU Computer Science) as an Assistant Professor 💙 - Currently exploring options + finalizing the plan for my gap year (Aug

Thrilled to share that I’ll be joining the College of Computing and Data Science at Nanyang Technological University (NTU) (NTU Singapore) as an Assistant Professor, starting in August 2025 🇸🇬🥳 I’ll continue my research on building trustworthy and continually adaptable multimodal AI,

In multimodal learning, which modality interactions matter the most? 👉 Check out our new ICML 2025 paper, "I²MoE: Interpretable Interaction-aware Mixture-of-Experts", a new MoE framework that makes multimodal fusion more interpretable and effective through interaction modeling

Excited to share Video-Skill-CoT🎬🛠️– a new framework for domain-adaptive video reasoning with skill-aware Chain-of-Thought (CoT) supervision! ⚡️Key Highlights: ➡️ Automatically extracts domain-specific reasoning skills from questions and organizes them into a unified taxonomy,

I’m excited to unveil PRESAGE 🔮 for in-silico prediction of unseen single-gene perturbations on expression profiles. Developed during my Postdoc with Aviv Regev and in collaboration with Jan-Christian Huetter and Jacob Levine in BRAID @ Genentech 🧬 Explore the full manuscript at

Big news! 🎉 I’m joining UNC-Chapel Hill as an Assistant Professor in Computer Science starting next year! Before that, I’ll be spending time OpenAI working on LLM privacy. UNC Computer Science UNC NLP

Defining “what is good” is central to both AI and Science. Despite massive efforts towards building the Virtual Cell, our recent Nature Biotechnology article reflects on whether current gold standards (i.e., evaluation metrics) still hold up. nature.com/articles/s4158…

🥳Excited to share that I’ll be joining UNC Computer Science as postdoc this fall. Looking forward to work with Mohit Bansal & amazing students at UNC AI. I'll continue working on retrieval, aligning knowledge modules with LLM's parametric knowledge, and expanding to various modalities.

Announcing AI for Science at NeurIPS Conference 2025! Join us in discussing the reach and limits of AI for scientific discovery 🚀 📍 Workshop submission deadline: Aug 22 💡 Dataset proposal competition: more details coming soon! ✨ Amazing line up of speakers and panelists

(1/x) Excited to share our new work on MAPoRL🍁: Multi-Agent Post-Co-Training for Collaborative LLMs with RL. Most current approaches just prompt pre-trained models and hope they’ll work together. But can we train LLM to discover the collaboration strategy?

🥳 Gap year update: I'll be joining Ai2/University of Washington for 1 year (Sep2025-Jul2026 -> JHU Computer Science) & looking forward to working with amazing folks there, incl. Ranjay Krishna, Hanna Hajishirzi, Ali Farhadi. 🚨 I’ll also be recruiting PhD students for my group at JHU Computer Science for Fall