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Dong-Ho Lee

Dong-Ho Lee has 2 papers in our library, in 2022–2024, most of them on Language models & pretraining, Dialogue systems, Multilingual & cross-lingual NLP; often with Bill Yuchen Lin, Francesco Barbieri, Jay Pujara.

2 papers in our library · 2022–2024

OpenAlex · ORCID · h-index 35 · 391 works · 4,240 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 221 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8725

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. 16 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. Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality (2022 · 34 citations)
    Dialogue response generation (RG) models tend to produce bland, generic replies. The authors argue this happens because the models answer "reflexively": they map dialogue history straight to a response and skip the step people take of building common ground (CG), meaning the shared knowledge and beliefs between…
  2. PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning (2024 · 28 citations)
    Large language models handle instructions far better in English than in languages that are underrepresented in their pre-training data.

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. Evaluating Very Long-Term Conversational Memory of LLM Agents ↗Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetAdyasha Maharana et al.2024 · 223 citations
  2. TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetBill Yuchen Lin et al.2020 · 111 citations

 Co-authors here

10 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 221 times (of the 149,439 papers whose bibliographies we read); 64 citing papers with a page here →.

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