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Zhijian Xu

Zhijian Xu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Evaluation & benchmarks; often with Arman Cohan, Lovekesh Vig, Manasi Patwardhan.

3 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 5 · 20 works · 195 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 12 times in our library · ⭐ Paper Stars ranking: #8998

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

🎓Xiamen UniversityXiamen · China2026 · 1 papercurrent🏛️Chinese Academy of SciencesBeijing · China2022–2025 · 3 papers🔬Shanghai Institute of Materia MedicaPudong · China2022–2025 · 3 papers🎓Yale UniversityNew Haven · United States2025 · 2 papers🎓Chinese Academy of Medical Sciences & Peking Union Medical CollegeBeijing · China2012–2013 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 10The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksDecision Sciences · 1 workSocial Sciences · 1 workHistory and Philosophy of Science · 1 workStatistics, Probability and Uncertainty · 1 workComputer Vision and Pattern Recognition · 1 workGeneral Social Sciences · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers (2025 · 11 citations)
    Peer review is increasingly strained as publication volume grows. Existing benchmarks for LLM-generated reviews mostly judge overall review quality and pay little attention to whether models can find a paper's real weaknesses. This work isolates that skill. The authors first build a taxonomy of limitation types for…
  2. AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research (2025 · 9 citations)
    AbGen tests whether large language models can help scientists plan experiments, focusing on ablation study design.
  3. Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative Verifier (2026 · 1 citation)
    Step-by-step reasoning in LLMs creates a cost problem. Solvers keep generating text after they already have an answer, and checking their work is expensive. Process-based verifiers such as GenPRM re-read the context at every step. Cheap "NoThinking"-style checks are fast but flag many false positives.

 Co-authors here

7 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 12 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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