---
title: "Daisuke Kawahara — papers of 2026 — Elamur Research"
description: "Daisuke Kawahara — papers of 2026: 8 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/daisuke-kawahara/year/2026/"
---
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# Daisuke Kawahara — papers of 2026 — Elamur Research

8 papers · [all years of Daisuke Kawahara](https://md.research.elamur.ai/free/en/authors/daisuke-kawahara/#years)

**[Evaluating Multimodal Large Language Models on Vertically Written Japanese Text](https://md.research.elamur.ai/free/en/papers/sasagawa-2026-evaluating-multimodal-large-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Keito Sasagawa, Shuhei Kurita, Daisuke Kawahara*2026 · 3 citations*

**[Constructing a Japanese Claim Decomposition Dataset for Fact-Checking of LLM-Generated Texts](https://md.research.elamur.ai/free/en/papers/masano-2026-constructing-japanese-claim-decomposition-dataset/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Miwa Masano, Ribeka Keyaki, Atsushi Keyaki, et al.*2026 · 1 citation*

**[Constructing a Japanese Rap Lyric Generation Model with GRPO](https://md.research.elamur.ai/free/en/papers/ogawa-2026-constructing-japanese-rap-lyric-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hayato Ogawa, Daisuke Kawahara*2026*

**[Constructing a Japanese Verdict Prediction Dataset for Fact-Checking of LLM-Generated Texts](https://md.research.elamur.ai/free/en/papers/masano-2026-constructing-japanese-verdict-prediction-dataset/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miwa Masano, Hirokazu Kiyomaru, Atsushi Keyaki, et al.*2026*

**[Demystifying Mixed Outcomes of Self-Training: Pre-training Analyses on Non-Toy LLMs](https://md.research.elamur.ai/free/en/papers/nakamura-2026-demystifying-mixed-outcomes-self-training/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yusuke Nakamura, Hirokazu Kiyomaru, Chaoran Liu, et al.*2026*

**[Detecting Sensitive Personal Information in Japanese Pre-Training Corpora for Large Language Models](https://md.research.elamur.ai/free/en/papers/minamoto-2026-detecting-sensitive-personal-information-japanese/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Rei Minamoto, Yusuke Oda, Daisuke Kawahara*2026*

**[Evaluating Cross-Lingual Behavior and Consistency of Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-evaluating-cross-lingual-behavior-consistency/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Hao Wang, Pinzhi Huang, Daisuke Kawahara*2026*

**[Evaluating the Impact of SAE-based Language Steering on LLM Performance](https://md.research.elamur.ai/free/en/papers/zwirner-2026-evaluating-impact-sae-based-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sebastian Zwirner, Wentao Hu, Koshiro Aoki, et al.*2026*