🧑‍🔬 Xuming Hu

🏛️ Affiliations

🎓The Hong Kong University of Science and Technology (Guangzhou)Guangzhou · China2023–2026 · 148 paperscurrent🎓Hong Kong University of Science and TechnologyHong Kong · Hong Kong2024–2026 · 90 paperscurrent🎓Tsinghua UniversityBeijing · China2019–2024 · 52 papersEducation 2019–2024 · School of Software🔬Guangzhou HKUST Fok Ying Tung Research InstituteGuangzhou · China2023–2026 · 2 papers🎓Chinese University of Hong KongHong Kong · Hong Kong2024–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity (2023 · 170 citations)
   Large language models are increasingly used as knowledge sources in search, chat assistants and high-stakes fields such as medicine, law and finance, yet they often state things that contradict established facts.
2. A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability (2023 · 127 citations)
   The paper asks how well ChatGPT turns natural-language questions into executable SQL with no task-specific training.

All works

12 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 170 citations
2. A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capabilityarXiv:2303.13547Aiwei Liu, Xuming Hu, Lijie Wen, et al.2023 · 127 citations
3. ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYibo Yan et al.2026 · 23 citations
4. Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYibo Yan et al.2026 · 23 citations
5. Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation? ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetLeyi Pan et al.2025 · 11 citations
6. Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetZhipeng Yang et al.2025 · 6 citations
7. CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring ↗Proceedings of the 4th Workshop on Advances in Language and Vision Research (ALVR) · no summary yetJiamin Su et al.2026 · 4 citations
8. StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetJunxi Wang et al.2026 · 3 citations
9. Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYibo Yan et al.2026 · 2 citations
10. GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning ↗Proceedings of the 4th Workshop on Advances in Language and Vision Research (ALVR) · no summary yetJianghangfan Zhang et al.2026 · 2 citations
11. Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetShuliang Liu et al.2026 · 1 citation
12. SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness ↗arXiv:2605.25796 · no summary yetJiahao Huo et al.2026

🤝 Co-authors here

9 co-authors with a page, the most papers together first.

• Cheng Jiayang
• Cunxiang Wang
• Linyi Yang
• Philip S. Yu
• Wenyang Gao
• Xiangru Tang
• Yidong Wang
• Yunzhi Yao
• Zehan Qi

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics: ACL 2026 ×4
• Proceedings of the 4th Workshop on Advances in Language and Vision Research (ALVR) ×2
• Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2
• Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 251 times (of the 141,840 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated 24 October 2026

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