---
title: "Jihwan Oh — author profile and papers — Elamur Research"
description: "Jihwan Oh, Korea Advanced Institute of Science and Technology: 2 papers on Elamur Research (2026), h-index 7 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/jihwan-oh/"
---
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# Jihwan Oh

Jihwan Oh has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Se-Young Yun](https://md.research.elamur.ai/free/en/authors/se-young-yun/), [Jongwoo Ko](https://md.research.elamur.ai/free/en/authors/jongwoo-ko/), [Taehyeon Kim](https://md.research.elamur.ai/free/en/authors/taehyeon-kim/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5016410893) · [ORCID](https://orcid.org/0000-0003-3274-4533) · [**h-index 7**](https://openalex.org/authors/A5016410893) · [25 works](https://openalex.org/works?filter=author.id:A5016410893) · [121 citations](https://openalex.org/works?filter=author.id:A5016410893&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jihwan-oh/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #12520](https://md.research.elamur.ai/free/en/paper-stars/page/126/#star-12520)

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=Jihwan+Oh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jihwan+Oh) · [dblp](https://dblp.org/search?q=Jihwan+Oh) · [ACL Anthology](https://aclanthology.org/search/?q=Jihwan+Oh)

## Affiliations

[🎓**Korea Advanced Institute of Science and Technology** Daejeon · South Korea 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/korea-advanced-institute-of-science-and-technology/) · [🎓**University of Oxford** Oxford · United Kingdom 2021–2022 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🔬**Perimeter Institute** Waterloo · Canada 2019–2024 · 2 papers](https://ror.org/013m0ej23) · [🎓**University of California, Berkeley** Berkeley · United States 2019–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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.

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jihwan-oh/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[From Belief Entrenchment to Robust Reasoning in LLM Agents](https://md.research.elamur.ai/free/en/papers/oh-2026-belief-entrenchment-robust-reasoning-llm/)** *(2026 · 2 citations)* Multi-Agent Debate (MAD), where several LLM instances critique one another at inference time, is often expected to repair reasoning errors.
2. **[MERIT Feedback Elicits Better Bargaining in LLM Negotiators](https://md.research.elamur.ai/free/en/papers/oh-2026-merit-feedback-elicits-better-bargaining/)** *(2026)* LLM negotiators often bargain shallowly. They adapt poorly to opponents and to realistic market complications, and existing bargaining benchmarks are mostly single-issue and judge success by profit alone. The authors address this with three components:

## Co-authors here

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

- [Se-Young Yun](https://md.research.elamur.ai/free/en/authors/se-young-yun/) ×2
- [Jongwoo Ko](https://md.research.elamur.ai/free/en/authors/jongwoo-ko/)
- [Taehyeon Kim](https://md.research.elamur.ai/free/en/authors/taehyeon-kim/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/): [Transactions of the Association for Computational Linguistics (TACL) 2026](https://md.research.elamur.ai/free/en/venues/tacl/2026/)

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
