3 papers
cs.AI2025
Identifying Multi-modal Knowledge Neurons in Pretrained Transformers via Two-stage Filtering
Yugen Sato, Tomohiro Takagi
Recent advances in large language models (LLMs) have led to the development of multimodal LLMs (MLLMs) in the fields of natural language processing (NLP) and computer vision. Altho…
cs.CL2023
Application of frozen large-scale models to multimodal task-oriented dialogue
Tatsuki Kawamoto, Takuma Suzuki, Ko Miyama +2
In this study, we use the existing Large Language Models ENnhanced to See Framework (LENS Framework) to test the feasibility of multimodal task-oriented dialogues. The LENS Framewo…
cs.CY2023
Extracting user needs with Chat-GPT for dialogue recommendation
Yugen Sato, Taisei Nakajima, Tatsuki Kawamoto +1
Large-scale language models (LLMs), such as ChatGPT, are becoming increasingly sophisticated and exhibit human-like capabilities, playing an essential role in assisting humans in a…