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Wanjing Anya Ma

Wanjing Anya Ma has 2 papers in our library, in 2024, most of them on Language models & pretraining, Evaluation & benchmarks, Vision & language; often with Emma Brunskill, Kanishk Gandhi, Michael C. Frank.

2 papers in our library · 2024

OpenAlex · ORCID · h-index 4 · 26 works · 35 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 30 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8769

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

🎓Stanford UniversityStanford · United States2023–2026 · 15 papersEmployment · Graduate Student, Graduate School of Educationcurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksPsychology · 1 workDecision Sciences · 1 workManagement Science and Operations Research · 1 workComputer Vision and Pattern Recognition · 1 workDevelopmental and Educational Psychology · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workEvaluation & benchmarks · 1 workVision & language · 1 work

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. DevBench: A multimodal developmental benchmark for language learning (2024 · 13 citations)
    Vision–language models need far more linguistic input than children do. Models trained on smaller or child-like naturalistic data are usually judged by adult-oriented benchmarks that probe few language skills and rarely include human comparison data. The authors address this with DevBench, a multimodal suite of seven…
  2. Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models (2024 · 12 citations)
    Language models are increasingly used to stand in for human populations, for example when designing educational materials.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetEric Zelikman et al.2023 · 16 citations
  2. DevBench: A multimodal developmental benchmark for language learningConference on Neural Information Processing Systems (NeurIPS)Alvin Wei Ming Tan, Sunny Yu, Bria Long, et al.2024 · 13 citations
  3. Psychometric Alignment: Capturing Human Knowledge Distributions via Language ModelsarXiv:2407.15645Joy He-Yueya, Wanjing Anya Ma, Kanishk Gandhi, et al.2024 · 12 citations

 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 30 times (of the 149,439 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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