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cs.CL2025
Investigating Training and Generalization in Faithful Self-Explanations of Large Language Models
Tomoki Doi, Masaru Isonuma, Hitomi Yanaka
Large language models have the potential to generate explanations for their own predictions in a variety of styles based on user instructions. Recent research has examined whether…
cs.CL2025
Bridging Perception and Language: A Systematic Benchmark for LVLMs' Understanding of Amodal Completion Reports
Amane Watahiki, Tomoki Doi, Taiga Shinozaki +4
One of the main objectives in developing large vision-language models (LVLMs) is to engineer systems that can assist humans with multimodal tasks, including interpreting descriptio…