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Xinda Wang

Xinda Wang has 2 papers in our library, in 2026, most of them on Reasoning; often with Bin-Bin Yang, ChenZhuo Zhao, Feng Xiao.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 10 · 41 works · 399 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #11734

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 University of Mining and Technology - BeijingBeijing2022–2026 · 10 paperscurrent🎓The University of Texas at DallasRichardson · United States2024–2026 · 7 paperscurrent🏢State Grid Jiangsu Electric PowerNanjing · China2022–2026 · 6 paperscurrent🎓Florida International UniversityMiami · United States2024–2026 · 2 paperscurrent🎓George Mason UniversityFairfax · United States2019–2023 · 8 papers🎓Beijing University of TechnologyBeijing · China2023–2024 · 2 papers🎓Huazhong University of Science and TechnologyWuhan · China2017–2018 · 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generation (2026 · 1 citation)
    LLM judges remain weak at assessing stories. Prompting closed models is brittle, and fine-tuned open evaluators usually output scores without explicit reasoning. The authors propose EvolvR, a framework that teaches an open-source evaluator to reason over pairs of stories. The model works aspect by aspect, for example…
  2. Triviality Corrected Endogenous Reward (2026)
    Reinforcement fine-tuning for open-ended writing lacks verifiable rewards. It usually depends on costly proprietary LLM judges or on judge models trained with annotated preference data. The authors ask whether confidence-based endogenous rewards, which work for unsupervised RL in math, can serve writing instead. They…

 Co-authors here

8 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 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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