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Yongjin Yang

Yongjin Yang has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Bias, fairness & safety; often with Haneul Yoo, Hwaran Lee, Jiarui Liu.

2 papers in our library · 2025–2026

OpenAlex · h-index 6 · 17 works · 102 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #9906

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 Korea2023–2026 · 8 paperscurrent🎓University of TorontoToronto · Canada2025–2026 · 3 paperscurrent🔬Vector InstituteToronto · Canada2025–2026 · 3 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2023 · 2 papers🔬Institute of Metal ResearchShenyang · China2023 · 2 papers🔬Shenyang National Laboratory for Materials ScienceShenyang · China2023 · 2 papers

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.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding (2025 · 26 citations)
    Multilingual LLMs tend to be less safe in non-English languages, but no one had tested whether code-switching, the natural habit of mixing languages within one utterance, can also break safety guardrails.
  2. CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures (2026)
    Studies of LLM agents in game-theoretic settings usually focus on strategy or task success. They rarely measure how varied or degenerate the agents' language becomes. This paper proposes CORE (Conversational Robustness Evaluation), a single score in [0, 1] for the linguistic health of multi-agent dialogs that needs…

 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); 6 citing papers with a page here →.

Updated

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