Chenghao Xiao

According to our database, Chenghao Xiao authored at least 37 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages.

Danlu Chen, Ka Sing He, Jiahe Tian, Chenghao Xiao, Zhaofeng Wu, Taylor Berg-Kirkpatrick, Freda Shi

CoRR, March, 2026

MAEB: Massive Audio Embedding Benchmark.

Adnan El Assadi, Isaac Chung, Chenghao Xiao, Roman Solomatin, Animesh Jha, Rahul Chand, Silky Singh, Kaitlyn Wang, Ali Sartaz Khan, Marc Moussa Nasser, Sufen Fong, Pengfei He, Alan Xiao, Ayush Sunil Munot, Aditya Shrivastava, Artem Gazizov, Niklas Muennighoff, Kenneth C. Enevoldsen

CoRR, February, 2026

The Achilles' Heel of Angular Margins: A Chebyshev Polynomial Fix for Speaker Verification.

Yang Wang, Yiqi Liu, Chenghao Xiao, Chenghua Lin

CoRR, January, 2026

RIGOURATE: Quantifying Scientific Exaggeration with Evidence-Aligned Claim Evaluation.

Joseph James, Chenghao Xiao, Yucheng Li, Nafise Sadat Moosavi, Chenghua Lin

CoRR, January, 2026

Reevaluating zero-shot information extraction: Sampling bias, prompting transferability and sensitivity in large language models.

Ke Huang, Chenghao Xiao, Yao Xiao, Ming Cai, Noura Al Moubayed

Inf. Process. Manag., 2026

2025

Scaling Language-Centric Omnimodal Representation Learning.

Chenghao Xiao, Hou Pong Chan, Hao Zhang, Weiwen Xu, Mahani Aljunied, Yu Rong

CoRR, October, 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, Yu Rong

CoRR, July, 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, July, 2025

ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning.

Yu Sun, Xingyu Qian, Weiwen Xu, Hao Zhang, Chenghao Xiao, Long Li, Yu Rong, Wenbing Huang, Qifeng Bai, Tingyang Xu

CoRR, June, 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, Junao Shen, Chaojun Wang, Jie Tan, Deli Zhao, Tingyang Xu, Hao Zhang, Yu Rong

CoRR, June, 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, April, 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, Mathieu Ciancone, Marion Schaeffer, Gabriel Sequeira, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çagatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafal Poswiata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Philipp Harries, Loïc Magne, Isabelle Mohr, Mariya Hendriksen, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal A. Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lù, Jordan Clive, Gayatri Krishnakumar, Anna Maksimova, Silvan Wehrli, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James V. Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Hongjin Su, Jimmy Lin, Howard Yen, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff

CoRR, February, 2025

Adversarial Defense without <i>Adversarial Defense</i> : Enhancing Language Model Robustness via Instance-level Principal Component Removal.

Yang Wang, Chenghao Xiao, Yizhi Li, Stuart E. Middleton, Noura Al Moubayed, Chenghua Lin

Trans. Assoc. Comput. Linguistics, 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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Quantifying Semantic Shift in Financial NLP: Robust Metrics for Market Prediction Stability.

Zhongtian Sun, Chenghao Xiao, Anoushka Harit, Jongmin Yu

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework.

Bohao Yang, Dong Liu, Chenghao Xiao, Kun Zhao, Chen Tang, Chao Li, Lin Yuan, Yang Guang, Chenghua Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth.

Yang Wang, Chenghao Xiao, Chia-Yi Hsiao, Zi Yan Chang, Chi-Li Chen, Tyler Loakman, Chenghua Lin

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning.

Yu Sun, Xingyu Qian, Weiwen Xu, Hao Zhang, Chenghao Xiao, Long Li, Deli Zhao, Wenbing Huang, Tingyang Xu, Qifeng Bai, Yu Rong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations.

Chenghao Xiao, Hou Pong Chan, Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

BioMNER: A Dataset for Biomedical Method Entity Recognition.

Chen Tang, Bohao Yang, Kun Zhao, Bo Lv, Chenghao Xiao, Frank Guerin, Chenghua Lin

CoRR, 2024

SimsChat: A Customisable Persona-Driven Role-Playing Agent.

Bohao Yang, Dong Liu, Chen Tang, Chenghao Xiao, Kun Zhao, Chao Li, Lin Yuan, Guang Yang, Lanxiao Huang, Chenghua Lin

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

RAR-b: Reasoning as Retrieval Benchmark.

Chenghao Xiao, G. Thomas Hudson, Noura Al Moubayed

CoRR, 2024

Pixel Sentence Representation Learning.

Chenghao Xiao, Zhuoxu Huang, Danlu Chen, G. Thomas Hudson, Yizhi Li, Haoran Duan, Chenghua Lin, Jie Fu, Jungong Han, Noura Al Moubayed

CoRR, 2024

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training.

Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Rigour of Scientific Writing: Criteria, Analysis, and Insights.

Joseph James, Chenghao Xiao, Yucheng Li, Chenghua Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Effective Distillation of Table-based Reasoning Ability from LLMs.

Bohao Yang, Chen Tang, Kun Zhao, Chenghao Xiao, Chenghua Lin

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval.

Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Audio Contrastive based Fine-tuning.

Yang Wang, Qibin Liang, Chenghao Xiao, Yizhi Li, Noura Al Moubayed, Chenghua Lin

CoRR, 2023

Can Text Encoders be Deceived by Length Attack?

Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Length is a Curse and a Blessing for Document-level Semantics.

Chenghao Xiao, Yizhi Li, G. Thomas Hudson, Chenghua Lin, Noura Al Moubayed

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning.

Chenghao Xiao, Yang Long, Noura Al Moubayed

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

On Isotropy and Learning Dynamics of Contrastive-based Sentence Representation Learning.

Chenghao Xiao, Yang Long, Noura Al Moubayed

CoRR, 2022

Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews.

Chenghao Xiao, Lei Shi, Alexandra I. Cristea, Zhaoxing Li, Ziqi Pan

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour.

Zhaoxing Li, Lei Shi, Alexandra I. Cristea, Yunzhan Zhou, Chenghao Xiao, Ziqi Pan

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022