--- title: "Wei Chen — author profile and papers — Elamur Research" description: "Wei Chen, Kunming University of Science and Technology: 7 papers on Elamur Research (2016–2026), h-index 1 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/wei-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wei-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Wei Chen # Wei Chen Wei Chen has 7 papers in our library, in 2016–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Chao Zhang](https://md.research.elamur.ai/free/en/authors/chao-zhang/), [Enhong Chen](https://md.research.elamur.ai/free/en/authors/enhong-chen/), [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/). 7 papers in our library · 2016–2026 [OpenAlex](https://openalex.org/A5139771840) · [**h-index 1**](https://openalex.org/authors/A5139771840) · [16 works](https://openalex.org/works?filter=author.id:A5139771840) · [1 citations](https://openalex.org/works?filter=author.id:A5139771840&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/wei-chen/#papers) · [🔗 Cited 218 times in our library](https://md.research.elamur.ai/free/en/authors/wei-chen/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3182](https://md.research.elamur.ai/free/en/paper-stars/page/32/#star-3182) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Wei+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Wei+Chen) · [dblp](https://dblp.org/search?q=Wei+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Wei+Chen) ## Affiliations [🎓**Guilin University of Electronic Technology** Guilin · China 2026 · 4 papers*current*](https://ror.org/05arjae42) · [🎓**Huazhong University of Science and Technology** Wuhan · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🎓**Inner Mongolia University** Hohhot · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/inner-mongolia-university/) · [🏢**Microsoft Research Asia** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · [🎓**University of Science and Technology of China** Hefei · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Zhejiang University** Hangzhou · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Kunming University of Science and Technology** Kunming · China 2026 · 1 paper*current*](https://ror.org/00xyeez13) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 12 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Health Informatics · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Information Management · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/health-information-management/) · [Health Professions · 1 work](https://md.research.elamur.ai/free/en/shelves/health-professions/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/concepts/information-extraction/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/wei-chen/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/wei-chen/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/wei-chen/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/wei-chen/year/2023/) ### 2010s [**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/wei-chen/year/2016/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large Language Models for Generative Information Extraction: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-generative-information/)** *(2023 · 406 citations)* Information extraction (IE) turns raw text into structured knowledge such as entities, relations and events. 2. **[pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection](https://md.research.elamur.ai/free/en/papers/wei-2016-pkudblab-semeval-2016-task-6/)** *(2016 · 155 citations)* The paper describes pkudblab's system for SemEval-2016 Task 6, which classifies tweets as favoring, opposing, or neutral toward a given target. 3. **[Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning](https://md.research.elamur.ai/free/en/papers/yang-2024-self-distillation-bridges-distribution-gap/)** *(2024 · 63 citations)* When an instruction-tuned LLM is further fine-tuned for a narrow downstream task, it tends to lose general abilities such as instruction following, helpfulness and safety alignment. 4. **[AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator](https://md.research.elamur.ai/free/en/papers/fan-2025-ai-hospital-benchmarking-large-language/)** *(2025 · 36 citations)* Medical QA benchmarks give a model the whole case at once. Real diagnosis is different: a clinician must gather facts step by step through conversation and tests. To measure this skill, the authors built AI Hospital, a multi-agent simulator. An LLM under test plays the Doctor, while GPT-3.5 drives two non-player… 5. **[LLMs Can Simulate Standardized Patients via Agent Coevolution](https://md.research.elamur.ai/free/en/papers/du-2025-llms-can-simulate-standardized-patients/)** *(2025 · 20 citations)* Medical training relies on standardized patients (SPs), actors who portray real cases. They are costly to prepare, and the role can strain their well-being. LLM-based SPs exist, but earlier work mostly improved retrieval or relied on expert feedback. The harder problem is teaching a knowledgeable model to answer like… 6. **[Demonstrating ViviDoc: Generating Interactive Documents through Human-Agent Collaboration](https://md.research.elamur.ai/free/en/papers/tang-2026-demonstrating-vividoc-generating-interactive-documents/)** *(2026 · 1 citation)* Interactive explanatory articles, with sliders and visuals that readers can manipulate, help people learn, but they are expensive to build because they need both subject expertise and web programming. 7. **[SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning](https://md.research.elamur.ai/free/en/papers/shi-2026-samora-semantic-aware-mixture-lora/)** *(2026)* Combining Mixture-of-Experts with LoRA (MoE-LoRA) is a common way to fine-tune LLMs on many tasks at once. ## All works 11 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them. 1. **[Large Language Models for Generative Information Extraction: A Survey](https://md.research.elamur.ai/free/en/papers/xu-2023-large-language-models-generative-information/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Derong Xu, Wei Chen, Wenjun Peng, et al.*2023 · 406 citations* 2. **[pkudblab at SemEval-2016 Task 6 : A Specific Convolutional Neural Network System for Effective Stance Detection](https://md.research.elamur.ai/free/en/papers/wei-2016-pkudblab-semeval-2016-task-6/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Wan Wei, Xiao Zhang, Xuqin Liu, et al.*2016 · 155 citations* 3. **[Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning](https://md.research.elamur.ai/free/en/papers/yang-2024-self-distillation-bridges-distribution-gap/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhaorui Yang, Tianyu Pang, Haozhe Feng, et al.*2024 · 63 citations* 4. **[AI Hospital: Benchmarking Large Language Models in a Multi-agent Medical Interaction Simulator](https://md.research.elamur.ai/free/en/papers/fan-2025-ai-hospital-benchmarking-large-language/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zhihao Fan, Lai Wei, Jialong Tang, et al.*2025 · 36 citations* 5. **[LLMs Can Simulate Standardized Patients via Agent Coevolution](https://md.research.elamur.ai/free/en/papers/du-2025-llms-can-simulate-standardized-patients/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhuoyun Du, Lujie Zheng, Renjun Hu, et al.*2025 · 20 citations* 6. **[Demonstrating ViviDoc: Generating Interactive Documents through Human-Agent Collaboration](https://md.research.elamur.ai/free/en/papers/tang-2026-demonstrating-vividoc-generating-interactive-documents/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yinghao Tang, Yupeng Xie, Yingchaojie Feng, et al.*2026 · 1 citation* 7. **[SAMoRA: Semantic-Aware Mixture of LoRA Experts for Task-Adaptive Learning](https://md.research.elamur.ai/free/en/papers/shi-2026-samora-semantic-aware-mixture-lora/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Boyan Shi, Wei Chen, Shuyuan Zhao, et al.*2026* 8. **[PaT: Planning-after-Trial for Efficient Test-Time Code Generation ↗](https://aclanthology.org/2026.acl-long.1703/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Youngsik Yoon et al.*2026* 9. **[Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA ↗](https://aclanthology.org/2026.acl-long.2129/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yuanlei Zheng et al.*2026* 10. **[Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement ↗](https://aclanthology.org/2026.acl-long.618/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Qimin Zhong et al.*2026* 11. **[Attention as Selector: Unlocking VLM Attention for Long Document Page Retrieval ↗](https://aclanthology.org/2026.acl-long.1117/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Minfeng Zhu et al.*2026* ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Chao Zhang](https://md.research.elamur.ai/free/en/authors/chao-zhang/) - [Enhong Chen](https://md.research.elamur.ai/free/en/authors/enhong-chen/) - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Han Wang](https://md.research.elamur.ai/free/en/authors/han-wang/) - [Jialong Tang](https://md.research.elamur.ai/free/en/authors/jialong-tang/) - [Jian Wu](https://md.research.elamur.ai/free/en/authors/jian-wu/) - [Lai Wei](https://md.research.elamur.ai/free/en/authors/lai-wei/) - [Qian Liu](https://md.research.elamur.ai/free/en/authors/qian-liu/) - [Tianyu Pang](https://md.research.elamur.ai/free/en/authors/tianyu-pang/) - [Tingfeng Lan](https://md.research.elamur.ai/free/en/authors/tingfeng-lan/) - [Tong Xu](https://md.research.elamur.ai/free/en/authors/tong-xu/) - [Wenjun Peng](https://md.research.elamur.ai/free/en/authors/wenjun-peng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×8: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/): [Frontiers of Computer Science 2023](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/2023/) - [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2016](https://md.research.elamur.ai/free/en/venues/semeval/2016/) ## Cited by Papers of our library cite their works 218 times (of the 149,439 papers whose bibliographies we read); [46 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/wei-chen/cited-by/). Updated 1 November 2026