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# Masayuki Asahara

2 paper cards in Mova's library · 2025–2026

Masayuki Asahara wrote 2 of the papers Mova reads, in 2025–2026, most of them on [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/), [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/); often with [Hiroshi Matsuda](https://md.mova.elamur.ai/free/en/docs/papers/authors/hiroshi-matsuda/), Chunpeng Ma.

[OpenAlex](https://openalex.org/A5002196974) · [ORCID](https://orcid.org/0000-0002-5178-7275) · [**h-index 20**](https://openalex.org/authors/A5002196974) · [1446 citations](https://openalex.org/authors/A5002196974) · [172 works](https://openalex.org/works?filter=author.id:A5002196974) — openalex, 2026-10-18

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=Masayuki+Asahara) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Masayuki+Asahara) · [dblp](https://dblp.org/search?q=Masayuki+Asahara) · [ACL Anthology](https://aclanthology.org/search/?q=Masayuki+Asahara) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Masayuki+Asahara)

Topics: [Dependency parsing](https://md.mova.elamur.ai/free/en/docs/papers/topics/dependency-parsing/) 1 · [Treebanks](https://md.mova.elamur.ai/free/en/docs/papers/topics/treebanks/) 1

## Papers

1. **[Probing the Dynamics of Syntactic Ability Acquisition Throughout LLM Pretraining](https://md.mova.elamur.ai/free/en/docs/papers/matsuda-2026-probing-dynamics-syntactic-ability-acquisition/)** *(2026)* The authors study when syntactic skills appear during LLM pretraining and which ones stay weak. Their method, LoRA probing, keeps the base model frozen and trains only low-rank adapters to produce step-by-step UD parses in a simple tabular format. They apply it to the public intermediate checkpoints of OLMo-2-7B…
2. **[Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs](https://md.mova.elamur.ai/free/en/docs/papers/matsuda-2025-step-step-instructions-simple-tabular/)** *(2025)* The paper asks how to get structurally valid, accurate Universal Dependencies parses out of large language models.

## Co-authors (2)

- [Hiroshi Matsuda](https://md.mova.elamur.ai/free/en/docs/papers/authors/hiroshi-matsuda/) ×2
- Chunpeng Ma
- [← previous Mary Ann Marcinkiewicz](https://md.mova.elamur.ai/free/en/docs/papers/authors/mary-ann-marcinkiewicz/)
- [next → Massimiliano Ciaramita](https://md.mova.elamur.ai/free/en/docs/papers/authors/massimiliano-ciaramita/)
- [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)