5 citations · 6 across the 12 of their papers we have counts for
12 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…
ClaimBrush: A Novel Framework for Automated Patent Claim Refinement Based on Large Language Models
Seiya Kawano, Hirofumi Nonaka, Koichiro Yoshino
Automatic refinement of patent claims in patent applications is crucial from the perspective of intellectual property strategy. In this paper, we propose ClaimBrush, a novel framew…
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs
LLM-jp, :, Akiko Aizawa +80
This paper introduces LLM-jp, a cross-organizational project for the research and development of Japanese large language models (LLMs). LLM-jp aims to develop open-source and stron…
Rapport-Driven Virtual Agent: Rapport Building Dialogue Strategy for Improving User Experience at First Meeting
Muhammad Yeza Baihaqi, Angel García Contreras, Seiya Kawano +1
Rapport is known as a conversational aspect focusing on relationship building, which influences outcomes in collaborative tasks. This study aims to establish human-agent rapport th…
J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution
Nobuhiro Ueda, Hideko Habe, Yoko Matsui +5
Understanding expressions that refer to the physical world is crucial for such human-assisting systems in the real world, as robots that must perform actions that are expected by u…
A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions
Shun Inadumi, Seiya Kawano, Akishige Yuguchi +2
Situated conversations, which refer to visual information as visual question answering (VQA), often contain ambiguities caused by reliance on directive information. This problem is…
What Should the System Do Next?: Operative Action Captioning for Estimating System Actions
Taiki Nakamura, Seiya Kawano, Akishige Yuguchi +2
Such human-assisting systems as robots need to correctly understand the surrounding situation based on observations and output the required support actions for humans. Language is…