renAI (Human-Centric NLP) Lab @renAI_Lab101
A group of researchers at @HKUST working on fun stuff that matters, with 6 main+finding papers to be presented at ACL’25. Follow for latest updates :) Joined April 2024-
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Check out this awesome paper on a new paradigm about thinking with imagination/images led by Prof. May Fung @May_F1_ and her super productive team at HKUST!
🎉 Congrats to our students on the new #EMNLP2025 paper acceptances! 1⃣ LLM Natural-Formal Hybrid Reasoning arxiv.org/abs/2505.23703 2⃣ Text-Instructed Image Editing on Medical Domain arxiv.org/abs/2506.01921 3⃣ Knowledge Boundary Aware Multi-Compositional Reasoning…
Exciting keynote at @IJCAIconf sharing the roadmap of AI x Science cutting-edge research frontier 🚀
Exciting keynote at @IJCAIconf sharing the roadmap of AI x Science cutting-edge research frontier 🚀
Actually, we implemented this kind of capability in our AdaCtrl paper three months ago by injecting difficult-aware tags (i.e., easy, hard, adaptive) to trigger different reasoning behaviors of LLMs. Paper: arxiv.org/pdf/2505.18822
Actually, we implemented this kind of capability in our AdaCtrl paper three months ago by injecting difficult-aware tags (i.e., easy, hard, adaptive) to trigger different reasoning behaviors of LLMs. Paper: arxiv.org/pdf/2505.18822
Excited to present our work, MMBoundary, at #ACL2025! Come chat with us at our poster session! 📍 Hall 4/5, Session 12: Poster Session 4 🗓️ Wednesday, July 30 ⏰ 11:00-12:30
Find us at the poster booth ✨Wed 7/30 11am Hall 4/5 ✨
Find us at the poster booth ✨Wed 7/30 11am Hall 4/5 ✨
@hkustNLP @uiuc_nlp @aclmeeting [1/n] "𝘔𝘢𝘵𝘤𝘩𝘪𝘯𝘨 𝘤𝘶𝘦𝘴 𝘧𝘰𝘳 𝘪𝘥𝘦𝘯𝘵𝘪𝘤𝘢𝘭 𝘰𝘣𝘫𝘦𝘤𝘵𝘴, 𝘥𝘪𝘴𝘵𝘪𝘯𝘤𝘵 𝘢𝘵𝘵𝘳𝘪𝘣𝘶𝘵𝘦𝘴 𝘧𝘰𝘳 𝘶𝘯𝘪𝘲𝘶𝘦 𝘰𝘯𝘦𝘴." Such 𝙘𝙧𝙤𝙨𝙨-𝙘𝙤𝙣𝙩𝙚𝙭𝙩 𝙫𝙞𝙨𝙪𝙖𝙡 𝙧𝙚𝙖𝙨𝙤𝙣𝙞𝙣𝙜 is extremely simple and straightforward for the human cognitive process,…
📢 Join us for the ACL Mentorship Session @aclmeeting #ACL2025NLP #NLProc • Session Link: mentorship.aclweb.org/schedule • Ask Questions: tinyurl.com/y2v2j462 Mentors: • @May_F1_ (@hkust) • @d_aumiller (@cohere) • @vernadankers (@Mila_Quebec) • @ziqiao_ma (@UMichCSE) •…
#COLM2025 Our work has been accepted to COLM 2025😊 Looking forward to discussing Scalable Oversight and Synthetic Data with old and new friends in Montréal @COLM_conf ！
#COLM2025 Our work has been accepted to COLM 2025😊 Looking forward to discussing Scalable Oversight and Synthetic Data with old and new friends in Montréal @COLM_conf ！
🧠 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 witness a new breakthrough in linking cues across multi-image, which shows performance boost in our VLM2-Bench! 👍🏻 Welcome check this paper out as well as explore new approaches that can achieve higher performance in our VLM2-Bench!
Excited to witness a new breakthrough in linking cues across multi-image, which shows performance boost in our VLM2-Bench! 👍🏻 Welcome check this paper out as well as explore new approaches that can achieve higher performance in our VLM2-Bench!
Excited to share our new paper: 🤔Thinking with Images for Multimodal Reasoning🧠! 🔍Dive into how AI can evolve from static image processing to dynamic "thinking with images" as cognitive workspaces, mirroring human mental sketchpads. 🔗 huggingface.co/papers/2506.23…
MATP-BENCH: Can MLLM be a good automated theorem prover for multimodal problems? ~ Zhitao He et als. arxiv.org/abs/2506.06034 #AI #MLLMs #Math #ITP #IsabelleHOL #LeanProver #CoqProver #AIforMath
🎓Introducing EduVisAgent: a next-generation AI teaching assistant built to transform STEM education with intelligent, visual, and interactive learning. 💡From static answers to dynamic, guided reasoning — EduVisAgent redefines how AI supports real-world teaching and learning.
🚀 I'm looking for full-time research scientist jobs on foundation models! I study pre-training and post-training of foundation models, and LLM-based coding agents. The figure highlights my research/publications. Please DM me if there is any good fit! Highly appreciated!
Please check out our new paper to dynamically adjust its reasoning length based on self-assessed problem difficulty.
Please check out our new paper to dynamically adjust its reasoning length based on self-assessed problem difficulty.
Thank you for the posting. This is a great project co-lead by the wonderful incoming PhD student of Prof. May Fung @May_F1_ The most valuable insights we found is that we could use similar reward design to minimize the reasoning and acting without sacrificing the accuracy a lot.…
Thank you for the posting. This is a great project co-lead by the wonderful incoming PhD student of Prof. May Fung @May_F1_ The most valuable insights we found is that we could use similar reward design to minimize the reasoning and acting without sacrificing the accuracy a lot.…
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