5 papers
Revisiting Non-Verbatim Memorization in Large Language Models: The Role of Entity Surface Forms
Yuto Nishida, Naoki Shikoda, Yosuke Kishinami +4
Understanding what kinds of factual knowledge large language models (LLMs) memorize is essential for evaluating their reliability and limitations. Entity-based QA is a common frame…
TimeMachine-bench: A Benchmark for Evaluating Model Capabilities in Repository-Level Migration Tasks
Ryo Fujii, Makoto Morishita, Kazuki Yano +1
With the advancement of automated software engineering, research focus is increasingly shifting toward practical tasks reflecting the day-to-day work of software engineers. Among t…
JaParaPat: A Large-Scale Japanese-English Parallel Patent Application Corpus
Masaaki Nagata, Katsuki Chousa, Norihito Yasuda
We constructed JaParaPat (Japanese-English Parallel Patent Application Corpus), a bilingual corpus of more than 300 million Japanese-English sentence pairs from patent applications…
MQM-Chat: Multidimensional Quality Metrics for Chat Translation
Yunmeng Li, Jun Suzuki, Makoto Morishita +2
The complexities of chats pose significant challenges for machine translation models. Recognizing the need for a precise evaluation metric to address the issues of chat translation…
An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication
Yunmeng Li, Jun Suzuki, Makoto Morishita +2
Machine translation models are still inappropriate for translating chats, despite the popularity of translation software and plug-in applications. The complexity of dialogues poses…