Mengkang Hu 胡梦康
I am a 1st-year Ph.D. student at The University of Hong Kong guided by Prof. Ping Luo (main) and Prof. Wenping Wang.
My research interest lies at the intersection of Embodied AI and Natural Language Processing (Large Language Models).
Here are some interesting problem I am thinking about:  
1) How to build lifelong evolving agent (LLM agent and RL agent);  
2) Are Large Language Models good enough to model the world;  
3) How to solve real-world problems with agent;
I am open to research discussions and collaborations, feel free to get in touch at [mkhu at connect dot hku dot hk]!
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KET-QA: A Dataset for Knowledge Enhanced Table Question Answering
Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang
COLING 2024
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Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo
ICLR 2024
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EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought
Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo
NeurIPS 2023 (Spotlight)
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TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang
EMNLP 2022 (Oral)
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Reviewer of ICLR AGI Workshop 2024
National Scholarship (top 2%), 2021
First-Class Scholarship, 2019-2022
MSRA Stars of Tomorrow (Award of Excellent Intern), 2022
National First Prize in Mathematical Contest in Modeling (top 1%), 2020
Mathematical Contest in Modeling, Meritorious Winner, 2020,2021
National Third Prize in The 14th International Contest of innovAtioN, 2020
2024.04.16 Sharing Tree-Planner at RLChina.
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