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Alice Oh

Alice Oh has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Question answering, Evaluation & benchmarks; often with Jiho Jin, Arnav Arora, Hwaran Lee.

2 papers in our library · 2024–2025

OpenAlex · ORCID · Wikidata · h-index 28 · 174 works · 3,746 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 556 times in our library · 8 more in our library without a page yet · ⭐ Paper Stars ranking: #4751

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Survey of Cultural Awareness in Language Models: Text and Beyond (2025 · 104 citations)
    Large language models now sit behind chatbots, assistants, search and recommendation tools used around the world. Their training data, however, come mostly from Western sources. As a result, they can stereotype, flatten identities or respond insensitively to users from other backgrounds.
  2. KoBBQ: Korean Bias Benchmark for Question Answering (2024 · 77 citations)
    Social bias benchmarks such as BBQ are built around US stereotypes, and simply machine-translating them misses how bias works in other societies.

All works

10 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. Survey of Cultural Awareness in Language Models: Text and BeyondComputational LinguisticsSiddhesh Pawar, Junyeong Park, Jiho Jin, et al.2025 · 104 citations
  2. Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to AnalysisProceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · original ↗ · no summary yetNayeon Lee et al.2024 · 58 citations
  3. WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global CuisinesProceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · original ↗ · no summary yetGenta Indra Winata et al.2025 · 45 citations
  4. Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and SundaneseProceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetRifki Afina Putri et al.2024 · 38 citations
  5. Peer Reviews of Peer Reviews: A Randomized Controlled Trial and Other ExperimentsarXiv:2311.09497 · original ↗ · no summary yetAlexander Goldberg et al.2023 · 31 citations
  6. Understanding Editing Behaviors in Multilingual WikipediaarXiv:1508.07266 · original ↗ · no summary yetSuin Kim et al.2015 · 27 citations
  7. Diffusion Models Through a Global Lens: Are They Culturally Inclusive?Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetZahra Bayramli et al.2025 · 10 citations
  8. A 2-step Framework for Automated Literary Translation Evaluation: Its Promises and PitfallsarXiv:2412.01340 · original ↗ · no summary yetSheikh Shafayat et al.2024 · 4 citations
  9. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English VarietiesarXiv:2505.20875 · original ↗ · no summary yetJiyoung Lee et al.2025 · 3 citations

 Co-authors here

6 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 556 times (of the 141,840 papers whose bibliographies we read); 36 citing papers with a page here →.

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