15 citations · 30 across the 12 of their papers we have counts for
16 papers
A Study on Question-Answer Dataset for LLM Safety Evaluation with a Focus on Illegal Activities
Kenji Imamura, Masao Ideuchi, Atsushi Fujita
In this paper, we discuss question-answer dataset for LLM safety evaluation, with a focus on illegal activities. Specifically, on the basis of manual analysis of AnswerCarefully, w…
ATD-Trans: A Geographically Grounded Japanese-English Travelogue Translation Dataset
Shohei Higashiyama, Hiroki Ouchi, Atsushi Fujita +1
Geographic text, or textual data rich in geographic (geo-) information is a valuable source for various geographic applications, e.g., tourism management. Making such information a…
Unsupervised Translation Quality Estimation Exploiting Synthetic Data and Pre-trained Multilingual Encoder
Yuto Kuroda, Atsushi Fujita, Tomoyuki Kajiwara +1
Translation quality estimation (TQE) is the task of predicting translation quality without reference translations. Due to the enormous cost of creating training data for TQE, only…
Bilingual Corpus Mining and Multistage Fine-Tuning for Improving Machine Translation of Lecture Transcripts
Haiyue Song, Raj Dabre, Chenhui Chu +2
Lecture transcript translation helps learners understand online courses, however, building a high-quality lecture machine translation system lacks publicly available parallel corpo…
Scientific Credibility of Machine Translation Research: A Meta-Evaluation of 769 Papers
Benjamin Marie, Atsushi Fujita, Raphael Rubino
This paper presents the first large-scale meta-evaluation of machine translation (MT). We annotated MT evaluations conducted in 769 research papers published from 2010 to 2020. Our…
Recurrent Stacking of Layers in Neural Networks: An Application to Neural Machine Translation
Raj Dabre, Atsushi Fujita
In deep neural network modeling, the most common practice is to stack a number of recurrent, convolutional, or feed-forward layers in order to obtain high-quality continuous space…