🧑‍🔬 Edward Choi

🏛️ Affiliations

🎓Korea Advanced Institute of Science and TechnologyDaejeon · South Korea2020–2026 · 66 paperscurrent🎓Georgia Institute of TechnologyAtlanta · United States2015–2019 · 13 papers🏢GoogleMountain View · United States2019–2022 · 4 papers🏢NAVER CloudSeongnam-si · South Korea2022–2025 · 3 papers🏢NaverSeongnam-si · South Korea2022–2024 · 3 papers🎓Yonsei UniversitySeoul · South Korea2023–2024 · 2 papers🏢AmazonSeattle · United States2023 · 2 papers🎓University of California, BerkeleyBerkeley · United States2021–2022 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties (2025 · 3 citations)
   LLM benchmarks are written almost entirely in Standard American English (SAE), so it is unclear how well models serve people who use regional dialects or write English as a second language (ESL). The authors built Trans-EnV, a pipeline that rewrites existing SAE benchmark items into a chosen English variety.
2. Modeling Clinical Uncertainty in Radiology Reports: From Explicit Uncertainty Markers to Implicit Reasoning Pathways (2026 · 1 citation)
   Chest X-ray reports carry two kinds of uncertainty that structuring pipelines usually miss. The first is explicit: radiologists hedge with words like "likely" or "cannot be excluded", and how strong that hedge is depends on context. The second is implicit: reports often state only a diagnosis and leave out the…

All works

4 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. Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetEdward Choi et al.2020 · 256 citations
2. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English VarietiesConference on Neural Information Processing Systems (NeurIPS)Jiyoung Lee, Seungho Kim, Jieun Han, et al.2025 · 3 citations
3. Modeling Clinical Uncertainty in Radiology Reports: From Explicit Uncertainty Markers to Implicit Reasoning PathwaysLanguage Resources and Evaluation Conference (LREC)Paloma Rabaey, Jong Hak Moon, Jung-Oh Lee, et al.2026 · 1 citation
4. Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetHojun Cho et al.2022

🤝 Co-authors here

2 co-authors with a page, the most papers together first.

• Alice Oh
• Thomas Demeester

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Language Resources and Evaluation Conference (LREC): LREC 2026
• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2025
• Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
• Proceedings of the AAAI Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 15 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 30 October 2026

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