🔥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

🤩 It's happening today! Join us at the 2nd Workshop on Foundation Models in the Wild — Hall 4, #6, Singapore EXPO! 🔥 10 amazing invited talks 🔥 12 exciting oral presentations 🔥 Cutting-edge ideas and lively discussions 🚀 Don't miss it — come say hi and explore the future

🎉 Thrilled to share that OctoTools won the Best Paper Award at KnowledgeNLP Workshop @NAACL 2025 #NAACL! 🏆 OctoTools is a flexible, easy-to-use framework that equips LLMs with diverse tools for complex reasoning—just customize your agent by mixing modular “tool cards” like building with Lego 🧩

Our new #ICML2025 paper formulates #LLM hallucination as hypothesis testing to provide statistical guarantees on factuality. #FactTest is a distribution free and model agnostic approach to improve LLM accuracy. Great job Fan Nie Xiaotian Hou, Shuhang Lin Huaxiu Yao

>700K people die each year due to S. aureus infection. Today we show that our AI designed new molecule, synthecin, stops drug-resistant S. aureus MRSA in mouse model💊 We created synthecin w/ SyntheMol-RL, our new RL generative AI. All open source biorxiv.org/content/10.110…

🚨 Call for submission at our workshop on Computer Vision for Automated Medical Diagnosis #ICCV2025 in 🌴 Honolulu, Hawaii! Join us at #ICCV2025 to present your work on 🤖multimodal LLMs, 🧠 agents, & ⚖️ fair, reliable AI for healthcare and medicine. 🗓️ Deadline: June 21,

Excited to share work on using classical search approaches to scale inference in diffusion models! We show how global graph search algorithms (BFS, DFS) and local search can be used to improve generation performance across domains such as image generation, planning, and RL!

Introducing VerlTool - a unified and easy-to-extend tool agent training framework based on verl. Recently, there's been a growing trend toward training tool agents with reinforcement learning algorithms like GRPO and PPO. Representative works include SearchR1, ToRL, ReTool, and

Do LLMs truly understand math proofs, or just guess? 🤔Our new study on #IneqMath dives deep into Olympiad-level inequality proofs & reveals a critical gap: LLMs are often good at finding answers, but struggle with rigorous, sound proofs. ➡️ ineqmath.github.io To tackle

Even the smartest LLMs can fail at basic multiturn communication Ask for grocery help → without asking where you live 🤦‍♀️ Ask to write articles → assumes your preferences 🤷🏻‍♀️ ⭐️CollabLLM (top 1%; oral ICML Conference) transforms LLMs from passive responders into active collaborators.

Wrapped up Stanford CS336 (Language Models from Scratch), taught with an amazing team Tatsunori Hashimoto Marcel Rød Neil Band Rohith Kuditipudi. Researchers are becoming detached from the technical details of how LMs work. In CS336, we try to fix that by having students build everything:

[1/n] Discussions about LM reasoning and post-training have gained momentum. We identify several missing pieces: ✏️Post-training based on off-the-shelf base models without transparent pre-training data components and scale. ✏️Intermediate checkpoints with incomplete learning

Excited to introduce EvoLM🚀Our latest end-to-end study of language model training dynamics.