--- title: "Changlong Yu — author profile and papers — Elamur Research" description: "Changlong Yu, Amazon: 4 papers on Elamur Research (2023–2026), h-index 28 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/changlong-yu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/changlong-yu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Changlong Yu # Changlong Yu Changlong Yu has 4 papers in our library, in 2023–2026, most of them on [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Huan Zhao](https://md.research.elamur.ai/free/en/authors/huan-zhao/), [Jun Gao](https://md.research.elamur.ai/free/en/authors/jun-gao/), [Ruifeng Xu](https://md.research.elamur.ai/free/en/authors/ruifeng-xu/). 4 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5102620271) · [ORCID](https://orcid.org/0000-0002-4758-9014) · [Wikidata](https://www.wikidata.org/wiki/Q130940121) · [**h-index 28**](https://openalex.org/authors/A5102620271) · [100 works](https://openalex.org/works?filter=author.id:A5102620271) · [2,232 citations](https://openalex.org/works?filter=author.id:A5102620271&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/changlong-yu/#papers) · [🔗 Cited 105 times in our library](https://md.research.elamur.ai/free/en/authors/changlong-yu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6000](https://md.research.elamur.ai/free/en/paper-stars/page/60/#star-6000) 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=Changlong+Yu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Changlong+Yu) · [dblp](https://dblp.org/search?q=Changlong+Yu) · [ACL Anthology](https://aclanthology.org/search/?q=Changlong+Yu) ## Affiliations [🏢**Amazon** Seattle · United States 2024–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/companies/amazon/) · [🏥**Peking University Third Hospital** Beijing · China 2004–2016 · 32 papers](https://ror.org/04wwqze12) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2019–2025 · 19 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**Peking University** Beijing · China 2004–2013 · 9 papers](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Hebei University of Science and Technology** Shijiazhuang · China 2007–2018 · 4 papers](https://ror.org/05h3pkk68) · [🏥**Chinese PLA General Hospital** Beijing · China 2015–2017 · 3 papers](https://ror.org/04gw3ra78) · [🎓**Beijing Institute of Technology** Beijing · China 2014–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) · [🎓**University of Virginia** Charlottesville · United States 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-virginia/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 Topics 2 Research subjects and languages the work is about.[Information extraction · 2 works](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/changlong-yu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/changlong-yu/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/changlong-yu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/changlong-yu/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Exploring the Feasibility of ChatGPT for Event Extraction](https://md.research.elamur.ai/free/en/papers/gao-2023-exploring-feasibility-chatgpt-event-extraction/)** *(2023 · 115 citations)* The paper asks whether ChatGPT can perform event extraction from a prompt alone, without task-specific training data or fine-tuning. 2. **[WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wei-2025-webagent-r1-training-web-agents/)** *(2025 · 36 citations)* Reinforcement learning has improved LLMs mostly on single-turn problems like math. Web agents are harder to train this way: they must make long sequences of decisions on changing pages, and earlier RL approaches for this setting depended on offline or off-policy pipelines with extra components. WebAgent-R1 is a… 3. **[EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models](https://md.research.elamur.ai/free/en/papers/gao-2024-eventrl-enhancing-event-extraction-outcome/)** *(2024 · 11 citations)* LLMs used for event extraction (EE) often break the task schema. They attach arguments that a given event type does not allow, or they invent event types that the instructions never defined. The authors argue that Supervised Fine-Tuning (SFT) handles these errors poorly. Under NLL loss, a wrong type or role may… 4. **[Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting](https://md.research.elamur.ai/free/en/papers/lu-2026-learning-optimize-multi-objective-alignment/)** *(2026 · 4 citations)* The paper addresses a weakness in multi-objective online RL for aligning LLMs. Combining rewards with fixed linear weights cannot reach solutions on non-convex parts of the Pareto front. It also keeps spending gradient effort on objectives that have already saturated. The authors propose dynamic reward weighting… ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. [**Exploring the Feasibility of ChatGPT for Event Extraction arXiv:2303.03836**Jun Gao, Huan Zhao, Changlong Yu, et al.*2023 · 115 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-exploring-feasibility-chatgpt-event-extraction/) 2. **[WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wei-2025-webagent-r1-training-web-agents/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zhepei Wei, Wenlin Yao, Yao Liu, et al.*2025 · 36 citations* 3. [**EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language Models arXiv:2402.11430**Jun Gao, Huan Zhao, Wei Wang, et al.*2024 · 11 citations*](https://md.research.elamur.ai/free/en/papers/gao-2024-eventrl-enhancing-event-extraction-outcome/) 4. **[Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting](https://md.research.elamur.ai/free/en/papers/lu-2026-learning-optimize-multi-objective-alignment/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yining Lu, Zilong Wang, Shiyang Li, et al.*2026 · 4 citations* 5. **[SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding ↗](https://aclanthology.org/2026.findings-acl.826/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yuqi Yang et al.*2026* ## Co-authors here 12 of 21 co-authors with a page, the most papers together first. - [Huan Zhao](https://md.research.elamur.ai/free/en/authors/huan-zhao/) ×2 - [Jun Gao](https://md.research.elamur.ai/free/en/authors/jun-gao/) ×2 - [Ruifeng Xu](https://md.research.elamur.ai/free/en/authors/ruifeng-xu/) ×2 - [Bing Yin](https://md.research.elamur.ai/free/en/authors/bing-yin/) - [Chao Zhang](https://md.research.elamur.ai/free/en/authors/chao-zhang/) - [Liang Qiu](https://md.research.elamur.ai/free/en/authors/liang-qiu/) - [Lihong Li](https://md.research.elamur.ai/free/en/authors/lihong-li/) - [Meng Jiang](https://md.research.elamur.ai/free/en/authors/meng-jiang/) - [Puyang Xu](https://md.research.elamur.ai/free/en/authors/puyang-xu/) - [Qin Lu](https://md.research.elamur.ai/free/en/authors/qin-lu/) - [Qingyu Yin](https://md.research.elamur.ai/free/en/authors/qingyu-yin/) - [Shiyang Li](https://md.research.elamur.ai/free/en/authors/shiyang-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/) - [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2026](https://md.research.elamur.ai/free/en/venues/tacl/2026/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 105 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/changlong-yu/cited-by/). Updated 31 October 2026