Elamur Research⌕
☰
home / authors / Hyeonseok Moon

Hyeonseok Moon

Hyeonseok Moon has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Dialogue systems, English; often with Heuiseok Lim, Chanjun Park, Jaehyung Seo.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 8 · 83 works · 287 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 24 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #11249

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. 1 more institution 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. PEEP-Talk: A Situational Dialogue-based Chatbot for English Education (2023 · 9 citations)
    Learners of English as a foreign language rarely get to practise realistic conversation. Existing tutoring chatbots tend to be rule-based, cope poorly with off-topic input, and give little feedback. PEEP-Talk addresses this with three parts:
  2. NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models (2026)
    Long-context benchmarks for LLMs usually mix a small amount of query-relevant evidence with a lot of filler, as in the needle-in-a-haystack (NIAH) setup.
  3. Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation (2026)
    Cloud LLM services usually receive user prompts as plain text, so medical, legal or personal details can leak through interception, breaches, logs or later training.

All works

9 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering ↗Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023) · no summary yetSeungjun Lee et al.2023 · 11 citations
  2. KU X Upstage's Submission for the WMT22 Quality Estimation: Critical Error Detection Shared Task ↗Proceedings of the Seventh Conference on Machine Translation (WMT) · no summary yetSugyeong Eo et al.2022 · 5 citations
  3. Debate Only When Necessary: Adaptive Multiagent Collaboration for Efficient LLM Reasoning ↗arXiv:2504.05047 · no summary yetSugyeong Eo et al.2025 · 4 citations
  4. QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation ↗Proceedings of the 29th International Conference on Computational Linguistics · no summary yetSugyeong Eo et al.2022 · 1 citation
  5. Detecting Critical Errors Considering Cross-Cultural Factors in English-Korean Translation ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetSugyeong Eo et al.2024

 Co-authors here

4 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 24 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/hyeonseok-moon/