Hao Li (李昊)

I‘m a Technical Staff Member @ ERNIE Foundation Model Team, Baidu.

Prior to this, I was a Postdoc @ Imperial College London and Research Intern @ Microsoft Research

My research interests lie in Reinforcement Learning and Post Training. Recently, I have been focusing on:

Email / LinkedIn / CV / Google Scholar / GitHub

My Photo

Selected Work

ERNIE 5.0 (0110)
ERNIE Team, Baidu
🏆 #1 in China (LMArena) 🌎 #8 Globally 🤗 2.4T(2400B) LLM
[Product] [Blog]
ERNIE 4.5 Foundation Model Family
ERNIE Team, Baidu
7.6k+ Stars 👥 430M+ Users 🚀 1.5B Daily Calls 🤗 28B-424B LLM
[GitHub] [Hugging Face] [Technical Report]
TimeCraft: Universal Time-Series Generation
Microsoft Research
1.1k+ Stars
[Blog] [GitHub] [Technical Report]

Selected Publications

MIRA: Medical Time Series Foundation Model for Real-World Health Data
Hao Li, Bowen Deng, Chang Xu, Zhiyuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian
NeurIPS 2025
[Paper] [Code] [Talk]
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
ICML 2025
[Paper] [Code] [Talk]
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
Bowen Deng, Chang Xu, Hao Li, Yu-Hao Huang, Min Hou, Jiang Bian
KDD 2025
[Paper] [Code] [Talk]
Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study
Yizheng Sun, Hao Li, Chang Xu, Hongpeng Zhou, Chenghua Lin, Riza Batista-Navarro, Jingyuan Sun
EMNLP 2025
[Paper]
LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models
Yizheng Sun, Yanze Xin, Hao Li, Jingyuan Sun, Chenghua Lin, Riza Batista-Navarro
NAACL 2025 Findings
[Paper]
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic
ACL 2024 Findings
[Paper] [Code]
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models
Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Zekun Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Stephen W Huang, Chenghua Lin, Wenhu Chen, Jie Fu
ACL 2024 Findings
[Paper] [Code]
Do You Hear the People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation
Hao Li, Viktor Schlegel, Riza Theresa Batista-Navarro, Goran Nenadic
ACL 2023
[Paper] [Code]
Not All Quantifiers Are Equal: Probing Transformer-based Language Models’ Understanding of Generalised Quantifiers
Tharindu Madusanka, Iqra Zahid, Hao Li, Ian Pratt-Hartmann, Riza Batista-Navarro
EMNLP 2023
[Paper]