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David Anugraha

David Anugraha has 4 papers in our library, in 2024–2025, most of them on Multilingual & cross-lingual NLP, Question answering, Evaluation & benchmarks; often with Genta Indra Winata, Derry Tanti Wijaya, A. Seza Doğruöz.

4 papers in our library · 2024–2025

OpenAlex · h-index 2 · 32 works · 65 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 287 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7235

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 States2025–2026 · 12 paperscurrent🎓University of TorontoToronto · Canada2024–2026 · 9 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 2 worksExperimental and Cognitive Psychology · 1 workPsychology · 1 workInformation Systems · 1 work

🧭 Topics 6Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 3 worksKnowledge graphs & ontologies · 1 workEvaluation & benchmarks · 1 workQuestion answering · 1 workVision & language · 1 workReasoning · 1 work

 Works by year

2020s

20253 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines (2025 · 46 citations)
    Vision Language Models (VLMs) often lack culture-specific knowledge, especially outside English and for underrepresented regions.
  2. URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base (2025 · 15 citations)
    URIEL, queried through the lang2vec tool, is a widely cited source of geographical, phylogenetic and typological language vectors.
  3. MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences (2024 · 9 citations)
    Automatic metrics such as BLEU or BERTScore often disagree with human judgments. Each tends to capture only one quality dimension, such as coherence, consistency or relevance, and many come in poorly documented variants. The authors propose MetaMetrics, a supervised "meta-metric" that learns how to combine existing…
  4. mR3: Multilingual Rubric-Agnostic Reward Reasoning Models (2025 · 5 citations)
    LLM judges work well for automatic evaluation in English but lose accuracy in other languages, and it is unclear how best to train them multilingually.

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global CuisinesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan, et al.2025 · 46 citations
  2. URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge BaseInternational Conference on Computational Linguistics (COLING)Aditya Khan, Mason Shipton, David Anugraha, et al.2025 · 15 citations
  3. MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration ↗Proceedings of the Ninth Conference on Machine Translation · no summary yetDavid Anugraha et al.2024 · 11 citations
  4. MetaMetrics: Calibrating Metrics For Generation Tasks Using Human PreferencesarXiv:2410.02381Genta Indra Winata, David Anugraha, Lucky Susanto, et al.2024 · 9 citations
  5. mR3: Multilingual Rubric-Agnostic Reward Reasoning ModelsarXiv:2510.01146David Anugraha, Shou-Yi Hung, Zilu Tang, et al.2025 · 5 citations
  6. SparkMe: Adaptive Semi-Structured Interviewing for Qualitative Insight Discovery ↗arXiv (Cornell University) · no summary yetDavid Anugraha, Vishakh Padmakumar, Diyi Yang2026 · 3 citations

 Co-authors here

12 of 13 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 287 times (of the 149,439 papers whose bibliographies we read); 80 citing papers with a page here →.

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