Manling Li
@ManlingLi_
Assistant Professor@NU, Postdoc@Stanford, PhD@UIUC #NLP #CV Language+Vision/EmbodiedAI, Reasoning, Planning, Compositionality, Trustworthiness
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
Prof. Manling Li @ManlingLi_ 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
New paper release of Chain-of-Experts (CoE). arxiv.org/pdf/2506.18945 Main takeaway: For latent reasoning, looping MoE layer is a better choice, because its router allows you to loop through different experts at each iteration, expanding your search space. Credits go to my…
🚀 Introducing Chain-of-Experts (CoE), A Free-lunch optimization method for DeepSeek-like MoE models! within $200, we explore to train MoEs that enables 17.6-42% efficiency boost in memory! Code: github.com/ZihanWang314/c… Blog: notion.so/Chain-of-Exper……
Do you find RL makes the LLM reasoning more stubborn? Keep repeating the same answers? How to make multi-turn conversational history be helpful in RL training? We identify a simple "try again" feedback can boost reasoning and make RL training a conversational manner!…
Will conversation history help reasoning? We found that when models mess up once, they often get stuck. Surprisingly, a simple “try again” fixes this — and boosts reasoning.🧵 Project Page: unary-feedback.github.io
Excited that @RuohanZhang76 is joining NU @northwesterncs ! If you are thinking about pursuing a PhD, definitely reach out to him! During my wonderful year at @StanfordAILab @StanfordSVL, when I was completely new to robotics, he was the nicest person who was incredibly patient…
📢 Beginning this fall, four new tenure-track, clinical, and visiting faculty members will join our department! 📢 We are thrilled to welcome Shaddin Dughmi, Sidhanth Mohanty, Lydia Tse, and Ruohan Zhang! Meet the newest members of our team: spr.ly/6019fGdXv
Check @hc81Jeremy ’s oral presentation on EmbodiedBench at ICML! He is also applying to PhD this year, please reach out to him at ICML!
Grateful for the chance to present EmbodiedBench at ICML as an Oral. A rewarding experience full of learning. Thanks for @RuiYang70669025 @hengjinlp @jyzhang1208 @huan_zhang12 Mark_Zhao @ManlingLi_ Tong_Zhang and many others who make it possible. See you next time.
📣 Excited to announce SpaVLE: #NeurIPS2025 Workshop on Space in Vision, Language, and Embodied AI! 👉 …vision-language-embodied-ai.github.io 🦾Co-organized with an incredible team → @fredahshi · @maojiayuan · @DJiafei · @ManlingLi_ · David Hsu · @Kordjamshidi 🌌 Why Space & SpaVLE? We…
Finally available on arxiv! arxiv.org/abs/2506.18945
🚀 Introducing Chain-of-Experts (CoE), A Free-lunch optimization method for DeepSeek-like MoE models! within $200, we explore to train MoEs that enables 17.6-42% efficiency boost in memory! Code: github.com/ZihanWang314/c… Blog: notion.so/Chain-of-Exper……
Getting reward from human preference for robots👇 ROSETTA won best paper at CRLH @ RSS and will be at HitLRL today! Led by the amazing @sanjana__z , come and chat more with her at RSS today!
🤖 Household robots are becoming physically viable. But interacting with people in the home requires handling unseen, unconstrained, dynamic preferences, not just a complex physical domain. We introduce ROSETTA: a method to generate reward for such preferences cheaply. 🧵⬇️