--- title: "Yohan Jo · Seoul National University — author profile and papers" description: "Yohan Jo, Seoul National University: 3 papers on Elamur Research (2017–2026), h-index 1 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yohan-jo/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yohan-jo/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yohan Jo # Yohan Jo Yohan Jo has 3 papers in our library, in 2017–2026, most of them on [Speech act theory](https://md.research.elamur.ai/free/en/topics/speech-act-theory/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Carolyn Penstein Rosé](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/), [Michael Yoder](https://md.research.elamur.ai/free/en/authors/michael-yoder/). 3 papers in our library · 2017–2026 [OpenAlex](https://openalex.org/A5094123497) · [**h-index 1**](https://openalex.org/authors/A5094123497) · [44 works](https://openalex.org/works?filter=author.id:A5094123497) · [7 citations](https://openalex.org/works?filter=author.id:A5094123497&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yohan-jo/#papers) · 🔗 Cited 12 times in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9681](https://md.research.elamur.ai/free/en/paper-stars/page/97/#star-9681) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yohan+Jo) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yohan+Jo) · [dblp](https://dblp.org/search?q=Yohan+Jo) · [ACL Anthology](https://aclanthology.org/search/?q=Yohan+Jo) ## Affiliations [🎓**Seoul National University** Seoul · South Korea 2024–2026 · 39 papers*current*](https://md.research.elamur.ai/free/en/universities/seoul-national-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Speech act theory · 1 work](https://md.research.elamur.ai/free/en/topics/speech-act-theory/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yohan-jo/year/2026/) ### 2010s [**2017** 1 paper](https://md.research.elamur.ai/free/en/authors/yohan-jo/year/2017/) ## Papers The most cited first (OpenAlex and our library). 1. **[Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences](https://md.research.elamur.ai/free/en/papers/jo-2017-modeling-dialogue-acts-content-word/)** *(2017 · 11 citations)* The paper tackles unsupervised recognition of dialogue acts (DAs) in conversations. The authors propose CSM, an HMM-based generative model with two main additions. First, it filters content words. Each conversation receives a slowly changing background topic, drawn from topics shared across the corpus, which absorbs… 2. **[ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided Decoding](https://md.research.elamur.ai/free/en/papers/song-2026-thinkbrake-efficient-reasoning-log-probability/)** *(2026 · 1 citation)* Large Reasoning Models (LRMs) often overthink. They find a correct intermediate answer in their chain of thought, keep deliberating, and then replace it with a wrong one. The authors first measure this with Qwen3-4B-Thinking. They force the \ delimiter at each sentence boundary and pick the best cut-off in… 3. **[Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction](https://md.research.elamur.ai/free/en/papers/park-2026-learning-retrieve-user-history-generate/)** *(2026)* Whether a message sways someone depends heavily on who that person is. Yet systems that judge persuasiveness have no principled way to use a person's earlier online activity. Park et al. study this on the ChangeMyView (CMV) subreddit. The task is to decide whether a reply earned a delta from the post's author, given… ## All works 4 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. **[Modeling Dialogue Acts with Content Word Filtering and Speaker Preferences](https://md.research.elamur.ai/free/en/papers/jo-2017-modeling-dialogue-acts-content-word/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yohan Jo, Michael Yoder, Hyeju Jang, et al.*2017 · 11 citations* 2. **[KL for a KL: On-Policy Distillation with Control Variate Baseline ↗](https://arxiv.org/abs/2605.07865) arXiv:2605.07865 · no summary yet**Minjae Oh et al.*2026 · 8 citations* 3. **[ThinkBrake: Efficient Reasoning via Log-Probability Margin Guided Decoding](https://md.research.elamur.ai/free/en/papers/song-2026-thinkbrake-efficient-reasoning-log-probability/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sangjun Song, Minjae Oh, Seungkyu Lee, et al.*2026 · 1 citation* 4. **[Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction](https://md.research.elamur.ai/free/en/papers/park-2026-learning-retrieve-user-history-generate/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sejun Park, Yoonah Park, Jongwon Lim, et al.*2026* ## Co-authors here 2 co-authors with a page, the most papers together first. - [Carolyn Penstein Rosé](https://md.research.elamur.ai/free/en/authors/carolyn-penstein-rose/) - [Michael Yoder](https://md.research.elamur.ai/free/en/authors/michael-yoder/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2017](https://md.research.elamur.ai/free/en/venues/emnlp/2017/) ## Cited by Papers of our library cite their works 12 times (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026