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Ukyo Honda

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL4
ORCID 0000-0002-4894-9886
same name
  • Ukyo Honda — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Single Linear Layer Yields Task-Adapted Low-Rank Matrices

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024★ 1 cited

FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generation

Akihiko Kato, Masato Mita, Soichiro Murakami +3

In ad text generation (ATG), desirable ad text is both faithful and informative. That is, it should be faithful to the input document, while at the same time containing important i…

cs.CL2024

On the True Distribution Approximation of Minimum Bayes-Risk Decoding

Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura +1

Minimum Bayes-risk (MBR) decoding has recently gained renewed attention in text generation. MBR decoding considers texts sampled from a model as pseudo-references and selects the t…

cs.CL2024★ 1 cited

A Single Linear Layer Yields Task-Adapted Low-Rank Matrices

Hwichan Kim, Shota Sasaki, Sho Hoshino +1

Low-Rank Adaptation (LoRA) is a widely used Parameter-Efficient Fine-Tuning (PEFT) method that updates an initial weight matrix W0​ with a delta matrix ΔW consisted by two low-…

cs.CL2023

On the Depth between Beam Search and Exhaustive Search for Text Generation

Yuu Jinnai, Tetsuro Morimura, Ukyo Honda

Beam search and exhaustive search are two extreme ends of text decoding algorithms with respect to the search depth. Beam search is limited in both search width and depth, whereas…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.