9 papers
Pragmatic Theories Enhance Understanding of Implied Meanings in LLMs
Takuma Sato, Seiya Kawano, Koichiro Yoshino
The ability to accurately interpret implied meanings plays a crucial role in human communication and language use, and language models are also expected to possess this capability.…
Dialogue Response Prefetching Based on Semantic Similarity and Prediction Confidence of Language Model
Kiyotada Mori, Seiya Kawano, Angel Fernando Garcia Contreras +1
Prefetching of dialogue responses has been investigated to reduce user-perceived latency (UPL), which refers to the user's waiting time before receiving the system's response, in s…
What Do Humans Hear When Interacting? Experiments on Selective Listening for Evaluating ASR of Spoken Dialogue Systems
Kiyotada Mori, Seiya Kawano, Chaoran Liu +3
Spoken dialogue systems (SDSs) utilize automatic speech recognition (ASR) at the front end of their pipeline. The role of ASR in SDSs is to recognize information in user speech rel…
MK2 at PBIG Competition: A Prompt Generation Solution
Yuzheng Xu, Tosho Hirasawa, Seiya Kawano +2
The Patent-Based Idea Generation task asks systems to turn real patents into product ideas viable within three years. We propose MK2, a prompt-centric pipeline: Gemini 2.5 drafts a…
ASMR: Augmenting Life Scenario using Large Generative Models for Robotic Action Reflection
Shang-Chi Tsai, Seiya Kawano, Angel Garcia Contreras +2
When designing robots to assist in everyday human activities, it is crucial to enhance user requests with visual cues from their surroundings for improved intent understanding. Thi…
Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression
Kai Yoshida, Masahiro Mizukami, Seiya Kawano +3
To improve user engagement during conversations with dialogue systems, we must improve individual dialogue responses and dialogue impressions such as consistency, personality, and…