4 papers
Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance
Shintaro Ozaki, Tatsuya Hiraoka, Hiroto Otake +8
Large Language Models (LLMs) are known to process information using a proficient internal language consistently, referred to as latent language, which may differ from the input or…
NERsocial: Efficient Named Entity Recognition Dataset Construction for Human-Robot Interaction Utilizing RapidNER
Jesse Atuhurra, Hidetaka Kamigaito, Hiroki Ouchi +2
Adapting named entity recognition (NER) methods to new domains poses significant challenges. We introduce RapidNER, a framework designed for the rapid deployment of NER systems thr…
Can Language Models Induce Grammatical Knowledge from Indirect Evidence?
Miyu Oba, Yohei Oseki, Akiyo Fukatsu +4
What kinds of and how much data is necessary for language models to induce grammatical knowledge to judge sentence acceptability? Recent language models still have much room for im…
Graph-Structured Trajectory Extraction from Travelogues
Aitaro Yamamoto, Hiroyuki Otomo, Hiroki Ouchi +4
Previous studies on sequence-based extraction of human movement trajectories have an issue of inadequate trajectory representation. Specifically, a pair of locations may not be lin…