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Zilong Wang

Zilong Wang has 2 papers in our library, in 2026, most of them on Language models & pretraining; often with Changlong Yu, Hao Wu, Meng Jiang.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 11 · 44 works · 448 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #10620

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

🔬China Geological SurveyBeijing · China2025–2026 · 2 paperscurrent🎓Peking UniversityBeijing · China2009–2025 · 13 papers🏛️Chinese Academy of SciencesBeijing · China2019–2024 · 13 papers🔬Guangzhou Institute of GeochemistryGuangzhou · China2019–2024 · 13 papers🔬State Key Laboratory of Isotope GeochemistryGuangzhou2019–2024 · 12 papers🎓University of Chinese Academy of SciencesBeijing · China2019–2023 · 8 papers🔬Chinese Academy of Geological SciencesBeijing · China2022–2025 · 6 papers🎓Nanjing University of Aeronautics and AstronauticsNanjing · China2016–2025 · 2 papers🎓Southwest Petroleum UniversityChengdu · China2025 · 2 papers🎓Nantong UniversityNantong · China2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputational Theory and Mathematics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models (2026 · 1 citation)
    Most LLMs assume the entire input is available before they respond. This assumption fails for live speech, video, simultaneous translation or agents, where data arrives piece by piece and may be unbounded. Prior work labelled "streaming LLM" has mixed together quite different ideas: token-by-token decoding, chunked…

 Co-authors here

12 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 4 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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