肖程昊，上海财经大学计算机与人工智能学院助理教授。在英国杜伦大学和中山大学取得博士和学士学位。研究成果在ACL, EMNLP, TACL, ICCV, ICLR, NeurIPS等自然语言处理、计算机视觉和人工智能顶会期刊发表20余篇论文。
我的主要研究方向是表征学习和信息检索。目前，我的研究重点是（1）学习编码世界状态和物理规律的全模态表征。（2）以信息检索为中心的智能体-复杂环境交互和自进化。
长期招收各阶段的学生和科研助理，欢迎与我联系！ xiaochenghao[at]sufe.edu.cn
完整发表请见Google Scholar：https://scholar.google.com/citations?user=1GtWLmIAAAAJ&hl=en&oi=ao
部分最近论文：
[ACL 2026] Yuan, R., Yuan, C., Dai, D., Rong, Y., Cheng, H., Chan, HP.†, Xiao, C.†, 2026. Understanding the Behaviors of Environment-aware Information Retrieval. In Proceedings of the 64rd Annual Meeting of the Association for Computational Linguistics. (Corresponding authors†)
[NeurIPS 2025] Xiao, C., Chan, HP., Zhang, H., Xu, W., Aljunied, M., Rong, Y., 2025. Scaling Language-centric Omni-modal Representation Learning Advances in Neural Information Processing Systems.
[ICCV 2025] Xiao, C., Chung, I., Kerboua, I., Stirling, J., Zhang, X., Kardos, M., Solomatin, R., Al Moubayed, N.,
Enevoldsen, K., Muennighoff, N., 2025. MIEB: Massive Image Embedding Benchmark. In Proceedings of the IEEE/CVF international conference on computer vision
[ACL 2025] Xiao, C., Chan, HP., Zhang, H., Aljunied, M., Bing, L., Al Moubayed, N., Rong, Y., 2025. Analyzing LLMs' Knowledge Boundary Cognition across Languages through the Lens of Internal Representations. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 24099–24115, Vienna, Austria. Association for Computational Linguistics.
[TACL] Hong, H.*, Xiao, C.*, Wang, Y., Liu, Y., Rong, W. and Lin, C., 2025. Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts. Transactions of the Association for Computational Linguistics. (co-first*)
[ICLR 2025] Enevoldsen, K.*, Chung, I.*, Kerboua, I.*, Kardos, M.*, …, Xiao, C.*, Adlakha, V.*, Weller, O.*, Reddy. S.*, Muennighoff, N.*, 2025. MMTEB: Massive Multilingual Text Embedding Benchmark, in The Thirteenth International Conference on Learning Representations. (core managing authors*)
[EMNLP 2023] Xiao, C., Li, Y., Hudson, G., Lin, C. and Al Moubayed, N., 2023. Length is a Curse and a Blessing for Document-level Semantics. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 1385–1396, Singapore. Association for Computational Linguistics.
[ACL Findings 2023] Xiao, C., Long, Y. and Al Moubayed, N., 2023, July. On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning. In Findings of the Association for Computational Linguistics: ACL 2023 (pp. 12266-12283)
