11 citations · 19 across the 22 of their papers we have counts for
14 papers · 1 filter
JOR-Bench: Japanese Operations Research Benchmarks for Large Language Models
Yuu Jinnai
We present JOR-Bench, a collection of five Japanese-language benchmarks for evaluating the ability of large language models (LLMs) to formulate and solve operations research (OR) p…
Cost of Reasoning in non-English Languages: A Case Study on Japanese
Yuu Jinnai
Reasoning Language Models (RLMs) achieve their strongest performance when they reason in English, the language for which reasoning-oriented training data is most abundant. However,…
CAT-Translate: Building Compact Open-Source Models for Japanese-English Translation
Yuu Jinnai
Nowadays, large multilingual translation models demonstrate impressive translation capabilities in the machine translation benchmarks. This raises a practical question to the devel…
Re-evaluating Minimum Bayes Risk Decoding for Automatic Speech Recognition
Yuu Jinnai
Recent work has shown that sample-based Minimum Bayes Risk (MBR) decoding outperforms beam search in text-to-text generation tasks, such as machine translation, text summarization,…
Do Large Language Models Know Folktales? A Case Study of Yokai in Japanese Folktales
Ayuto Tsutsumi, Yuu Jinnai
Although Large Language Models (LLMs) have demonstrated strong language understanding and generation abilities across various languages, their cultural knowledge is often limited t…
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport
Yuu Jinnai
Document-level text generation tasks are known to be more difficult than sentence-level text generation tasks as they require the understanding of longer context to generate high-q…