Seung-won Hwang
Seung-won Hwang has 3 papers in our library, in 2021–2025, most of them on Question answering, Summarization, Code & programming languages; often with Alexey Svyatkovskiy, Daya Guo, Kyungjae Lee.
OpenAlex · ORCID · h-index 19 · 124 works · 1,420 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 55 times in our library · ⭐ Paper Stars ranking: #6169
Affiliations
Fields, topics and concepts
📚 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 worksComputer Science Applications · 1 workInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 work
🧭 Topics 4Research subjects and languages the work is about.Code & programming languages · 1 workInformation retrieval & search · 1 workQuestion answering · 1 workSummarization · 1 work
Works by year
2020s
Papers
- ReACC: A Retrieval-Augmented Code Completion Framework (2022 · 125 citations)
Most code completion models only see the file or project being edited. Programmers, however, often reuse similar code from elsewhere. ReACC adds this external context by searching a large codebase for code that resembles the unfinished snippet and feeding the matches to the generator. - Robustifying Multi-hop QA through Pseudo-Evidentiality Training (2021 · 19 citations)
Multi-hop QA models often get the right answer without real reasoning. They exploit shortcuts such as the expected entity type instead of linking all the needed facts. The authors want to penalise such unsupported answers without paying for annotated reasoning chains. Working with the HotpotQA distractor setting and… - Agent-as-Judge for Factual Summarization of Long Narratives (2025 · 8 citations)
Standard summarization metrics such as ROUGE and BERTScore reward surface overlap. They say little about whether a summary of a very long story (over 100K tokens) gets the facts right. LLM-as-a-Judge scorers such as FActScore also miss errors about who did what to whom, and they return only a bare number. The authors…
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2022, ACL 2021
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2025
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