--- title: "Junya Takayama — author profile and papers" description: "Junya Takayama, Ehime University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/junya-takayama/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/junya-takayama/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Junya Takayama # Junya Takayama 3 papers on this site · 2026 current affiliation [Ehime University](https://md.research.elamur.ai/free/en/universities/ehime-university/), Matsuyama, Japan Junya Takayama has 3 papers on this site, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Katsumasa Yoshikawa](https://md.research.elamur.ai/free/en/authors/katsumasa-yoshikawa/), [Tomoya Mizumoto](https://md.research.elamur.ai/free/en/authors/tomoya-mizumoto/), [Tomoyuki Kajiwara](https://md.research.elamur.ai/free/en/authors/tomoyuki-kajiwara/). [OpenAlex](https://openalex.org/A5135121176) · [**h-index 0**](https://openalex.org/authors/A5135121176) · [4 works](https://openalex.org/works?filter=author.id:A5135121176) · [0 citations](https://openalex.org/works?filter=author.id:A5135121176&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [3 works on this site](https://md.research.elamur.ai/free/en/authors/junya-takayama/#papers) 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=Junya+Takayama) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Junya+Takayama) · [dblp](https://dblp.org/search?q=Junya+Takayama) · [ACL Anthology](https://aclanthology.org/search/?q=Junya+Takayama) ## Affiliations - [Ehime University](https://md.research.elamur.ai/free/en/universities/ehime-university/) · Matsuyama, Japan —current · 2026 on 1 paper From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Topics [Language models & pretraining 2](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks 2](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Dialogue systems 1](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Grammatical error correction & learner language 1](https://md.research.elamur.ai/free/en/topics/grammatical-error-correction/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/junya-takayama/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[A Dialogue System for Second Language Learning with Dynamic Adaptation to In-Dialogue Difficulty Changes](https://md.research.elamur.ai/free/en/papers/morioka-2026-dialogue-system-second-language-learning/)** *(2026)* LLM-based conversation partners for language learners usually target one preset difficulty level. A learner's own output, however, becomes simpler or richer depending on how familiar the topic is. The authors build systems that estimate the learner's current level from their utterances during a dialogue and match it.… 2. **[Evaluating the Effect of Question Wording Variations on Answer Consistency in Large Language Models](https://md.research.elamur.ai/free/en/papers/takayama-2026-evaluating-effect-question-wording-variations/)** *(2026)* LLMs can give different answers to questions that mean the same thing but are phrased differently. This undermines reliability and can make models overly agreeable toward users. The authors study this problem with binary Yes/No questions, which make consistency easy to measure. They turn two classification tasks… 3. **[Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-Making](https://md.research.elamur.ai/free/en/papers/yoshikawa-2026-persona-aware-evaluation-cognitive-bias/)** *(2026)* The paper asks whether large language models show systematic cognitive biases, how assigning them a demographic persona changes those biases, and whether bias scores from a controlled benchmark predict behaviour in realistic decisions. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Katsumasa Yoshikawa](https://md.research.elamur.ai/free/en/authors/katsumasa-yoshikawa/) ×2 - [Tomoya Mizumoto](https://md.research.elamur.ai/free/en/authors/tomoya-mizumoto/) - [Tomoyuki Kajiwara](https://md.research.elamur.ai/free/en/authors/tomoyuki-kajiwara/)