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Jiho Jin

Jiho Jin has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining, Evaluation & benchmarks, Question answering; often with Alice Oh, Junho Myung, Nayeon Lee.

3 papers in our library · 2024–2025

OpenAlex · h-index 2 · 6 works · 19 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 256 times in our library · ⭐ Paper Stars ranking: #4064

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

🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea2025 · 1 papercurrent

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

 Concepts, shelves and topics

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

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSafety Research · 2 worksSocial Sciences · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 2 worksEvaluation & benchmarks · 2 worksBias, fairness & safety · 1 workQuestion answering · 1 work

 Works by year

2020s

20251 paperSurvey of Cultural Awareness in Language Models: Text and Beyond20242 papersJiho Jin's papers of 2024

 Papers

The most cited first (OpenAlex and our library).

  1. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages (2024 · 147 citations)
    Large language models often know little about ordinary daily life outside a few well-documented cultures. Facts like what people eat on birthdays or which sports pupils play rarely appear in web sources such as Wikipedia. Earlier cultural benchmarks were also mostly limited to one language or built from scraped…
  2. 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.
  3. 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.

 Co-authors here

8 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 256 times (of the 141,840 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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