SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour. - Zhaoxing Li; Lei Shi 003; Alexandra I. Cristea; Yunzhan Zhou; Chenghao Xiao; Ziqi Pan (AIED (2), 2022)

Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews. - Chenghao Xiao; Lei Shi 003; Alexandra I. Cristea; Zhaoxing Li; Ziqi Pan (AIED (1), 2022)

On Isotropy and Learning Dynamics of Contrastive-based Sentence Representation Learning. - Chenghao Xiao; Yang Long 001; Noura Al Moubayed (CoRR, 2022)

On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning. - Chenghao Xiao; Yang Long 001; Noura Al Moubayed (ACL (Findings), 2023)

Length is a Curse and a Blessing for Document-level Semantics. - Chenghao Xiao; Yizhi Li; G. Thomas Hudson; Chenghua Lin; Noura Al Moubayed (EMNLP, 2023)

Can Text Encoders be Deceived by Length Attack? - Chenghao Xiao; Zihuiwen Ye; G. Thomas Hudson; Zhongtian Sun; Phil Blunsom; Noura Al Moubayed (Tiny Papers @ ICLR, 2023)

Audio Contrastive based Fine-tuning. - Yang Wang; Qibin Liang; Chenghao Xiao; Yizhi Li; Noura Al Moubayed; Chenghua Lin (CoRR, 2023)

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. - Siwei Wu; Yizhi Li; Kang Zhu; Ge Zhang 009; Yiming Liang; Kaijing Ma; Chenghao Xiao; Haoran Zhang; Bohao Yang; Wenhu Chen; Wenhao Huang 001; Noura Al Moubayed; et al. (ACL (Findings), 2024)

Effective Distillation of Table-based Reasoning Ability from LLMs. - Bohao Yang; Chen Tang; Kun Zhao 007; Chenghao Xiao; Chenghua Lin (LREC/COLING, 2024)

On the Rigour of Scientific Writing: Criteria, Analysis, and Insights. - Joseph James; Chenghao Xiao; Yucheng Li; Chenghua Lin (EMNLP (Findings), 2024)

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Xingran Chen; Hanzhi Yin; Chenghao Xiao; Chenghua Lin; Anton Ragni; Emmanouil Benetos; Norbert Gyenge; Roger B. Dannenberg; et al. (ICLR, 2024)

Pixel Sentence Representation Learning. - Chenghao Xiao; Zhuoxu Huang; Danlu Chen; G. Thomas Hudson; Yizhi Li; Haoran Duan 001; Chenghua Lin; Jie Fu; Jungong Han; Noura Al Moubayed (CoRR, 2024)

RAR-b: Reasoning as Retrieval Benchmark. - Chenghao Xiao; G. Thomas Hudson; Noura Al Moubayed (CoRR, 2024)

The Power of Next-Frame Prediction for Learning Physical Laws. - Thomas Winterbottom; G. Thomas Hudson; Daniel Kluvanec; Dean L. Slack; Jamie Sterling; Junjie Shentu; Chenghao Xiao; Zheming Zhou; Noura Al Moubayed (CoRR, 2024)

SimsChat: A Customisable Persona-Driven Role-Playing Agent. - Bohao Yang; Dong Liu 026; Chen Tang; Chenghao Xiao; Kun Zhao 007; Chao Li; Lin Yuan; Guang Yang; Lanxiao Huang; Chenghua Lin (CoRR, 2024)

BioMNER: A Dataset for Biomedical Method Entity Recognition. - Chen Tang; Bohao Yang; Kun Zhao 007; Bo Lv; Chenghao Xiao; Frank Guerin; Chenghua Lin (CoRR, 2024)

Everything is a Video: Unifying Modalities through Next-Frame Prediction. - G. Thomas Hudson; Dean L. Slack; Thomas Winterbottom; Jamie Sterling; Chenghao Xiao; Junjie Shentu; Noura Al Moubayed (CoRR, 2024)

Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations. - Chenghao Xiao; Hou Pong Chan; Hao Zhang 048; Mahani Aljunied; Lidong Bing; Noura Al Moubayed; Yu Rong (ACL (1), 2025)

CAST: Corpus-Aware Self-similarity Enhanced Topic modelling. - Yanan Ma; Chenghao Xiao; Chenhan Yuan; Sabine N. van der Veer; Lamiece Hassan; Chenghua Lin; Goran Nenadic (NAACL (Long Papers), 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (CoRR, 2025)

MIEB: Massive Image Embedding Benchmark. - Chenghao Xiao; Isaac Chung; Imene Kerboua; Jamie Stirling; Xin Zhang; Márton Kardos; Roman Solomatin; Noura Al Moubayed; Kenneth C. Enevoldsen; Niklas Muennighoff (CoRR, 2025)

Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts. - Hanhua Hong; Chenghao Xiao; Yang Wang; Yiqi Liu; Wenge Rong; Chenghua Lin (CoRR, 2025)

Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning. - LASA Team; Weiwen Xu; Hou Pong Chan; Long Li; Mahani Aljunied; Ruifeng Yuan; Jianyu Wang; Chenghao Xiao; Guizhen Chen; Chaoqun Liu; Zhaodonghui Li; Yu Sun; et al. (CoRR, 2025)

ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning. - Yu Sun; Xingyu Qian; Weiwen Xu; Hao Zhang 098; Chenghao Xiao; Long Li; Yu Rong 001; Wenbing Huang 001; Qifeng Bai; Tingyang Xu (CoRR, 2025)

Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal. - Yang Wang; Chenghao Xiao; Yizhi Li; Stuart E. Middleton; Noura Al Moubayed; Chenghua Lin (CoRR, 2025)

VL-Cogito: Progressive Curriculum Reinforcement Learning for Advanced Multimodal Reasoning. - Ruifeng Yuan; Chenghao Xiao; Sicong Leng; Jianyu Wang; Long Li; Weiwen Xu; Hou Pong Chan; Deli Zhao; Tingyang Xu; Zhongyu Wei; Hao Zhang 048; Yu Rong (CoRR, 2025)