HKUNLP

We are a group of researchers working on natural language processing in the Department of Computer Science at the University of Hong Kong.

[chang ma @ma_chang_nlp]

Excited to introduce 🌠Orion: Towards Lab Automation with Computer-Using Agents.

Give it control of your lab computer💻, and it can use software, analyze any experiment images, browse databases on Chrome exactly like you, and work for hours to analyze your experiments.

🌎:https://t.co/5EAe8vEetl
��:https://t.co/D08hYrkJuG

[HKUNLP @hkunlp2020]

We will have a guest talk from Cai Zhou. He is a second-year PhD in MIT EECS. "Continuous modeling in diffusion language models: HDLM and CCDD
". All are welcome to join via the following link.
https://t.co/ZlLDO5pKRH

[HKUNLP @hkunlp2020]

Yifan Hou from ETH will be giving a talk titled "How Far Are We from Visual Language Understanding? Pitfalls and Progress in Vision-Language Models" at Tuesday Aug 26 2pm HKT. Link to talk: https://t.co/9TIt2Yvj2X

[HKUNLP @hkunlp2020]

Jinjie Ni @NiJinjie from NUS will be giving a talk titled "Diffusion Language Models are Super Data Learners" at Friday Aug 22 11am HKT. link to talk: https://t.co/WxTUSok1in

[HKUNLP @hkunlp2020]

Xinyu Yang from CMU will be giving a talk titled "Multiverse: Your Language Models Secretly
Decide How to Parallelize and Merge Generation" at Friday July 25 11am HKT (Thursday July 24 8pm PDT). Link to talk: https://t.co/Cdn9TGqWQ2

[Sansa Gong @sansa19739319]

Thanks for sharing our work!!!🙏Code release is in progress😺

[Chenxin An @AnChancy46881]

# 🚨 4B open-recipe model beats Claude-4-Opus
🔓 100% open data, recipe, model weights and code.

Introducing Polaris✨--a post-training recipe for scaling RL on advanced reasoning models.

🥳 Check out how we boost open-recipe reasoning models to incredible performance levels (65 → 79 on AIME25) through RL training on open-source data and academic-level resources.

📑Notion: https://t.co/k5ITJFzCe1
📗Blog post: https://t.co/Leth9PWSod
🤗Model & data: https://t.co/SVdfIwYTrU
💻Code: https://t.co/txg0qcywWi

[HKUNLP @hkunlp2020]

Hongru Wang from CUHK will be giving a talk titled "Theory of agent: from definition to objective" at ⏰Wednesday 6.11 3pm HKT (Thursday 6.11 11am PDT). Link to talk: https://t.co/MobT0Rtsgl

[Xueliang Zhao @xlzhao_hku]

🔥 Meet PromptCoT-Mamba

The first reasoning model with constant-memory inference to beat Transformers on competition-level math & code

⚡ Efficient decoding: no attention, no KV cache

⚡ +16.0% / +7.1% / +16.6% vs. s1.1-7B on AIME 24 / 25 / LiveCodeBench

🚀 Up to 3.66× faster

[Qiushi Sun @qiushi_sun]

🎉Introducing our latest work: "ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows"

🤗 Huggingface: https://t.co/56CJS6Qzg9
🏠Homepage: https://t.co/jU6mHlFIoU

TLDR: We introduce ScienceBoard, featuring (1) a dynamic OS env with real scientific software (CLI + GUI), and (2) a human-validated benchmark spanning domains like biochem, astronomy, GIS, ATP, and more.

🧵[1/5]

[HKUNLP @hkunlp2020]

Guanqi Jiang from UCSD will be giving a talk titled "Robots Pre-Train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets" at ⏰Friday 5.16 11am HKT (Thursday 5.15 8pm PDT). Link to talk: https://t.co/Wjw0A2E7HA

[HKUNLP @hkunlp2020]

Follow our new HKUNLP seminars at https://t.co/jooXQOvJPI. You can also sign up as a speaker to share your work!

[HKUNLP @hkunlp2020]

Join us for the talk and stay tuned for future events!

[chang ma @ma_chang_nlp]

We are kicking off a series of seminars at @hkunlp2020. @siyan_zhao will be giving a talk titled "d1: Scaling Reasoning in Diffusion Large Language Models via Reinforcement Learning" at ⏰Friday 5.9 11am HKT (Thursday 5.8 8pm PDT). Link to talk: https://t.co/i9FsWYRNbZ