Hao Li

32 papers A* 3Journal 20Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Implicit Graph, Explicit Retrieval: Towards Efficient and Interpretable Long-horizon Memory for Large Language Models.
CoRR
Xin Zhang, Kailai Yang, Hao Li, Chenyue Li, Qiyu Wei, Sophia Ananiadou
2026 J jnl
MemAdapter: Fast Alignment across Agent Memory Paradigms via Generative Subgraph Retrieval.
CoRR
Xin Zhang, Kailai Yang, Chenyue Li, Hao Li, Qiyu Wei, Jun'ichi Tsujii, Sophia Ananiadou
2025 J jnl
A user-generated content-based social network large-scale group decision-making approach in healthcare service: Case study of general practitioners selection in UK.
Expert Syst. Appl.
Yuanyuan Liang, Yanbing Ju, Xiao-Jun Zeng, Hao Li, Peiwu Dong, Tian Ju
2025 J jnl
Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement.
CoRR
Hao Li, Yizheng Sun, Viktor Schlegel, Kailai Yang, Riza Batista-Navarro, Goran Nenadic
2025 A* conf
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling.
ICML
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
2025 J jnl
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling.
CoRR
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
2025 J jnl
Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training.
CoRR
Kailai Yang, Xiao Liu, Lei Ji, Hao Li, Yeyun Gong, Peng Cheng, Mao Yang
2025 A* conf
Does Acceleration Cause Hidden Instability in Vision Language Models? Uncovering Instance-Level Divergence Through a Large-Scale Empirical Study.
EMNLP
Yizheng Sun, Hao Li, Chang Xu, Hongpeng Zhou, Chenghua Lin, Riza Batista-Navarro, Jingyuan Sun
2025 — conf
Generating Realistic Multi-Beat ECG Signals.
DSP
Paul Pöhl, Viktor Schlegel, Hao Li, Anil A. Bharath
2025 J jnl
Generating Realistic Multi-Beat ECG Signals.
CoRR
Paul Pöhl, Viktor Schlegel, Hao Li, Anil A. Bharath
2025 — conf
LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models.
NAACL (Findings)
Yizheng Sun, Yanze Xin, Hao Li, Jingyuan Sun, Chenghua Lin, Riza Batista-Navarro
2025 J jnl
LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language Models.
CoRR
Yizheng Sun, Yanze Xin, Hao Li, Jingyuan Sun, Chenghua Lin, Riza Batista-Navarro
2025 J jnl
Large Language Models in Argument Mining: A Survey.
CoRR
Hao Li, Viktor Schlegel, Yizheng Sun, Riza Batista-Navarro, Goran Nenadic
2025 J jnl
MIRA: Medical Time Series Foundation Model for Real-World Health Data.
CoRR
Hao Li, Bowen Deng, Chang Xu, Zhiyuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian
2025 J jnl
Silent Hazards of Token Reduction in Vision-Language Models: The Hidden Impact on Consistency.
CoRR
Yizheng Sun, Hao Li, Chang Xu, Chenghua Lin, Riza Batista-Navarro, Jingyuan Sun
2025 J jnl
SynBench: A Benchmark for Differentially Private Text Generation.
CoRR
Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar, Iqra Zahid, Yuping Wu, Yulong Wu, Hao Li, Jie Zhang, Warren Del-Pinto, Goran Nenadic, Siew Kei Lam, Anil Anthony Bharath
2025 — conf
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation.
KDD (2)
Bowen Deng, Chang Xu, Hao Li, Yu-Hao Huang, Min Hou, Jiang Bian
2025 J jnl
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation.
CoRR
Bowen Deng, Chang Xu, Hao Li, Yuhao Huang, Min Hou, Jiang Bian
2024 — conf
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models.
ACL (Findings)
Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Noah Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Wenhao Huang, Chenghua Lin, Jie Fu
2024 J jnl
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models.
CoRR
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
2024 J jnl
Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework.
CoRR
Yuping Wu, Hao Li, Hongbo Zhu, Goran Nenadic, Xiao-Jun Zeng
2024 J jnl
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction.
CoRR
Aishik Nagar, Viktor Schlegel, Thanh-Tung Nguyen, Hao Li, Yuping Wu, Kuluhan Binici, Stefan Winkler
2024 — conf
LanViKD: Cross-Modal Language-Vision Knowledge Distillation for Egocentric Action Recognition.
HAII5.0@ECAI
Yizheng Sun, Hao Li, Chenghua Lin, Riza Batista-Navarro
2024 — conf
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation.
ACL (Findings)
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic
2024 J jnl
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation.
CoRR
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic
2023 — conf
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation.
ACL (1)
Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
2023 J jnl
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation.
CoRR
Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
2023 A* conf
Not all quantifiers are equal: Probing Transformer-based language models' understanding of generalised quantifiers.
EMNLP
Tharindu Madusanka, Iqra Zahid, Hao Li, Ian Pratt-Hartmann, Riza Batista-Navarro
2023 — conf
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.
CLEF (Working Notes)
Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic
2023 J jnl
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.
CoRR
Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic
2023 J jnl
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
CoRR
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic
2023 — conf
Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
BioNLP@ACL
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic