Neuron-Level Analysis of Cultural Understanding in Large Language Models
Taisei Yamamoto · Ryoma Kumon · Danushka Bollegala · Hitomi Yanaka
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Taisei Yamamoto · Ryoma Kumon · Danushka Bollegala · Hitomi Yanaka
Ryoma Kumon · Hitomi Yanaka
While language models demonstrate sophisticated syntactic capabilities, the extent to which their internal mechanisms align with cross-constructional principles studied in linguistics remains poorly understood. This study investigates whether models employ shared neural mechanisms across differen...
Jin Tanaka · Daiki Matsuoka · Ryoma Kumon · Hitomi Yanaka
We investigate the extent to which the language processing of LLMs resembles human cognitive processes, focusing on a human cognitive bias called the neglect-zero effect . This effect refers to the human tendency to ignore zero-models , which are configurations that render a proposition vacuously...
Kaito Watanabe · Taisei Yamamoto · Tomoki Doi · Hitomi Yanaka
One of the expected abilities of vision-language models (VLMs) is spatial reasoning ability based on a given text and image.To evaluate the spatial reasoning abilities of VLMs, we focus on the use of spatial deictic expressions, which are defined as spatial expressions whose referent is determine...
Qingcheng Zeng · Yuheng Lu · Zeqi Zhou · Heli Qi · Puxuan Yu · Fuheng Zhao · Hitomi Yanaka · Weihao Xuan · Naoto Yokoya
Code-switching is a pervasive linguistic phenomenon in global communication, yet modern information retrieval systems remain predominantly designed for, and evaluated within, monolingual contexts. To bridge this critical disconnect, we present a holistic study dedicated to code-switching IR. We i...
Koki Ryu · Hitomi Yanaka
Personalized image aesthetics assessment (PIAA) is an important research problem with practical real-world applications. While methods based on vision-language models (VLMs) are promising candidates for PIAA, it remains unclear whether they internally encode rich, multi-level aesthetic attributes...