🔥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

I’m very honored, especially because the invitation comes from wonderful organizers! Thanks Chenhao Tan Haifeng Xu

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

#GPT4o image generation brings synthetic visual data quality to the next level. 🖼️ 🤔Is synthetic visual data finally ready to be used for improving VLMs? 🚀 We show success with CoDA, using contrastive visual data augmentation to help teach VLMs novel and confusing concepts.

Very excited to speak at KnowledgeNLP workshop on RL Agent Training! A reduced version of video at AAAI New Faculty Highlights at youtu.be/jyB5LcEQyCI

🌎Really honored to give one of the keynote talks at #NAACL2025, and speak about the power of learning from many cultures as a key to the success of NLP. 🌏I believe this will not only help us build better systems, but also bring more innovation to our community, and drive more

Join us at the AI & Scientific Discovery workshop (AISD) at NAACL HLT 2025 (Saturday all day). Truly incredible line-up of keynote speakers, 6 talks, and 20+ posters.

🚀 Can we cast reward modeling as a reasoning task? 📖 Introducing our new paper: RM-R1: Reward Modeling as Reasoning 📑 Paper: arxiv.org/pdf/2505.02387 💻 Code: github.com/RM-R1-UIUC/RM-… Inspired by recent advances of long chain-of-thought (CoT) on reasoning-intensive tasks, we

Hongru Wang Hongru Wang ‘s paper arxiv.org/abs/2504.14870 teaches LLMs to maximize directness and tool efficiency at the same time through a novel tool-integrated reward

🆕Excited to announce SWERank, our code ranking framework for software issue localization. ➡️Paper: bit.ly/3S0x1fV ➡️GitHub Project Page: bit.ly/42SESm3 ➡️AI-Generated Podcast: bit.ly/3GMF51H ➡️Code, Data and Models: Coming soon! (1/3) 🧵 Pinpointing

I am happy to announce that my first-author paper has been accepted to ACL 2025 Main! 🇦🇹 arxiv.org/abs/2502.16757 We tackle natural language-first-order logic translation (NL2FOL) using reinforcement learning with NLI labels as rewards. (1/7)

Another awesome work by Yangyi Chen (on job market) who is on industry job market right now

Have Been There. Just want to share my favorite quote with all junior woman researchers: “As you rise many people will disapprove. Rise anyway!”

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 🙌