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Changlong Yu

Changlong Yu has 4 papers in our library, in 2023–2026, most of them on Information extraction, Language models & pretraining; often with Huan Zhao, Jun Gao, Ruifeng Xu.

4 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 28 · 100 works · 2,232 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 105 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6000

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢AmazonSeattle · United States2024–2026 · 5 paperscurrent🏥Peking University Third HospitalBeijing · China2004–2016 · 32 papers🎓Hong Kong University of Science and TechnologyHong Kong · China2019–2025 · 19 papers🎓Peking UniversityBeijing · China2004–2013 · 9 papers🎓Hebei University of Science and TechnologyShijiazhuang · China2007–2018 · 4 papers🏥Chinese PLA General HospitalBeijing · China2015–2017 · 3 papers🎓Beijing Institute of TechnologyBeijing · China2014–2025 · 2 papers🎓University of VirginiaCharlottesville · United States2025 · 2 papers

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 1 workComputational Theory and Mathematics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information extraction · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Exploring the Feasibility of ChatGPT for 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 (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 (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 (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 ExtractionarXiv:2303.03836Jun Gao, Huan Zhao, Changlong Yu, et al.2023 · 115 citations
  2. WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Zhepei Wei, Wenlin Yao, Yao Liu, et al.2025 · 36 citations
  3. EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language ModelsarXiv:2402.11430Jun Gao, Huan Zhao, Wei Wang, et al.2024 · 11 citations
  4. Learning to Optimize Multi-Objective Alignment Through Dynamic Reward WeightingTransactions of the Association for Computational Linguistics (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 ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYuqi Yang et al.2026

 Co-authors here

12 of 21 co-authors with a page, the most papers together first.

Venues

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

 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 →.

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