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Welcome to my #AAAI2025 Tutorial, "The Quest for A Science of LMs," today! Time: Feb 26, 2pm-3:45pm Location: Room 113A, Pennsylvania Convention Center Website: glaciohound.github.io/Science-of-LLM… Underline: underline.io/events/487/sch…

SearchDet was accepted to #CVPR2025 🎉 We retrieve images from the Web and generate heatmaps through simple feature subtraction to improve long-tail object detection 👁

We have made a huge progress in language model reasoning. But our progress in multimodal reasoning (like MMMU) is very limited. Why? It's due to the lack of diverse, difficult and high-quality multimodal reasoning dataset! 🚀 New Paper Alert! 📢 We introduce VisualWebInstruct,

Why allocate the same number of visual tokens to a blank image and a complex landscape? Introducing DyMU: a training-free algorithm that makes any ViT visual encoder dynamic-length and plug-and-play with downstream VLMs. 🚀 🔗 Project Page: mikewangwzhl.github.io/dymu/

Today we're excited to introduce Vy, our AI that sees and acts on your computer. At Vercept, our mission is to reinvent how humans use computers–enabling you to accomplish orders of magnitude more than what you can do today. Vy is a first glimpse at AI that sees and uses your

🚀 Computational persuasion of LLMs can be a game-changer—dive into our new survey to explore the taxonomy, spot the risks, and investigate further challenges in persuasive LLMs!

We're thrilled to announce BLIP3-o, a breakthrough in unified multimodal models that excels at both image understanding and generation in a single autoregressive architecture! 💫 📊 Paper: bit.ly/3Saybpo 🤗 Models: bit.ly/4jhFaYM 🧠 Code:

🐂🍺Introducing our recent preprint: Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training! We present PRIOR, a simple vision-language pre-training algorithm that addresses the challenge of irrelevant textual content in image-caption pairs. PRIOR enhances

We are extremely excited to announce mCLM, a Modular Chemical Language Model that is friendly to automatable block-based chemistry and mimics bilingual speakers by “code-switching” between functional molecular modules and natural language descriptions of the functions. 1/2

🚀Let’s Think Only with Images. No language and No verbal thought.🤔 Let’s think through a sequence of images💭, like how humans picture steps in their minds🎨. We propose Visual Planning, a novel reasoning paradigm that enables models to reason purely through images.

Very excited by our work on visual affordance learning in the wild for robotics! 🤩

Thrilled to share that our paper has been accepted to #ACL2025 Main 🇦🇹 Huge thanks to my amazing collaborators and my advisor Heng Ji 🙃 📄arxiv.org/abs/2502.17793 Happy to chat about our work as well as MLLM research projects 🙌

🤯 We cracked RLVR with... Random Rewards?! Training Qwen2.5-Math-7B with our Spurious Rewards improved MATH-500 by: - Random rewards: +21% - Incorrect rewards: +25% - (FYI) Ground-truth rewards: + 28.8% How could this even work⁉️ Here's why: 🧵 Blogpost: tinyurl.com/spurious-rewar…

📢 New Paper Drop: From Solving to Modeling! LLMs can solve math problems — but can they model the real world? 🌍 📄 arXiv: arxiv.org/pdf/2505.15068 💻 Code: github.com/qiancheng0/Mod… Introducing ModelingAgent, a breakthrough system for real-world mathematical modeling with LLMs.

🧠 How can AI evolve from statically 𝘵𝘩𝘪𝘯𝘬𝘪𝘯𝘨 𝘢𝘣𝘰𝘶𝘵 𝘪𝘮𝘢𝘨𝘦𝘴 → dynamically 𝘵𝘩𝘪𝘯𝘬𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘪𝘮𝘢𝘨𝘦𝘴 as cognitive workspaces, similar to the human mental sketchpad? 🔍 What’s the 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 from tool-use → programmatic

Excited to share our work on Energy-Based Transformers, led by my amazing labmate Alexi Gladstone—a new frontier in unlocking generalized reasoning across modalities without rewards. Grateful to be part of this journey! ⚡️ 🧠 Think longer. Verify better. Generalize further.

🚀 Excited to share our work led by my amazing labmate Zhenhailong Wang, PAPO: Perception-Aware Policy Optimization, an extension of GRPO for multimodal reasoning! No extra labels. No reward models. Just internal supervision. 🔥 Learning to perceive while learning to reason.

Excited to be presenting on Monday, 7/28 from 11:00am–12:30pm at Hall 4/5 in ACL! If you’re interested in MLLM research, I’d love to chat—come say hi!🇦🇹👋

Thrilled to share our NeurIPS 2025 Spotlight 🎉 Check out our PARTONOMY paper! Led by my amazing labmates Jeonghwan Kim and Ansel, we introduce: PARTONOMY Benchmark and PLUM Model for part-level visual understanding and grounding🔥

🚀 Introducing UserRL: a new framework to train agents that truly assist users through proactive interaction, not just chase static benchmarking scores. 📄 Paper: arxiv.org/pdf/2509.19736 💻 Code: github.com/SalesforceAIRe…