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Lingling Zhang

Lingling Zhang has 2 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining, Evaluation & benchmarks; often with Basura Fernando, Chengyou Jia, Jun Liu.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 16 · 92 works · 1,038 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #8758

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

🎓University of Chinese Academy of SciencesBeijing · China2005–2025 · 64 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2006–2025 · 43 paperscurrent🎓Northwestern Polytechnical UniversityXi'an · China2024–2025 · 2 paperscurrent🎓Beijing Union UniversityBeijing · China2025 · 1 papercurrent🔬Changchun Institute of Applied ChemistryChangchun · China2016–2018 · 2 papers🔬State Key Laboratory of Electroanalytical ChemistryChangchun2016–2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 9 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).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 2 worksEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. PhysReason: A Comprehensive Benchmark towards Physics-Based Reasoning (2025 · 25 citations)
    Existing physics benchmarks for large language models (e.g., ScienceQA, SciBench, GPQA) mostly use short solutions of about 3–4 formulas and score only the final answer.
  2. G-HiRel: Enhancing the Adaption to Knowledge Updating for Large Language Model Reasoning (2026)
    Large language models struggle when facts change after training: retraining or editing weights is expensive and scales poorly, and in-context injection of edited facts often fails on multi-hop questions.

 Co-authors here

5 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 19 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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