Xian Wu
Xian Wu has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Information extraction, Vision & language; often with Chao Zhang, Enhong Chen, Tong Xu.
OpenAlex · ORCID · Wikidata · h-index 59 · 679 works · 13,224 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 294 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #4331
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 workHealth Informatics · 1 workMedicine · 1 work
🧭 Topics 3Research subjects and languages the work is about.Information extraction · 1 workLanguage models & pretraining · 1 workVision & language · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Information extraction · 1 work
Works by year
2020s
Papers
- Large Language Models for Generative Information Extraction: A Survey (2023 · 406 citations)
Information extraction (IE) turns raw text into structured knowledge such as entities, relations and events. - Multimodal Dual-Path Decoding for Medical Report Generation (2026)
This Findings of ACL 2026 paper automatically writes chest X-ray reports. Its PDF title reads "…Large-Model Decoding for Radiology Report Generation". The authors argue that vision-language models see the image well but lack medical background knowledge. Text-only LLMs have the opposite profile. To combine them, they…
All works
- Large Language Models for Generative Information Extraction: A SurveyFrontiers of Computer ScienceDerong Xu, Wei Chen, Wenjun Peng, et al.2023 · 406 citations
- Contrastive Attention for Automatic Chest X-ray Report Generation ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetFenglin Liu et al.2021 · 181 citations
- Competence-based Multimodal Curriculum Learning for Medical Report Generation ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetFenglin Liu, Shen Ge, Xian Wu2021 · 152 citations
- U-BERT: Pre-training User Representations for Improved Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhaopeng Qiu et al.2021 · 121 citations
- Multi-grained Named Entity Recognition ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetCongying Xia et al.2019 · 112 citations
- Federated Learning for Vision-and-Language Grounding Problems ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetFenglin Liu et al.2020 · 111 citations
- DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetZhihong Zhu et al.2024 · 9 citations
- Multimodal Dual-Path Decoding for Medical Report GenerationFindings of the Association for Computational LinguisticsJinghan Sun, Dong Wei, Zhihong Zhu, et al.2026
- Inflated Excellence or True Performance? Rethinking Medical Diagnostic Benchmarks with Dynamic Evaluation ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetXiangxu Zhang et al.2026
- Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented Generation ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetZhengyi Zhao et al.2026
Co-authors here
Venues
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics ×3
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Frontiers of Computer Science: Frontiers of Computer Science 2023
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Cited by
Updated
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