Seiya Kawano — accepted AI-conference papers

2025

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression

Kai Yoshida, Masahiro Mizukami, Seiya Kawano, Canasai Kruengkrai, Hiroaki Sugiyama, Koichiro Yoshino

ICASSP 2025accepted

To improve user engagement during conversations with dialogue systems, we must improve individual dialogue responses and dialogue impressions such as consistency, personality, and empathy throughout the entire dialogue. While such dialogue systems have been developing rapidly with the help of large…

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2024

A Gaze-grounded Visual Question Answering Dataset for Clarifying Ambiguous Japanese Questions

Shun Inadumi, Seiya Kawano, Akishige Yuguchi, Yasutomo Kawanishi, Koichiro Yoshino

COLING 2024main

Situated conversations, which refer to visual information as visual question answering (VQA), often contain ambiguities caused by reliance on directive information. This problem is exacerbated because some languages, such as Japanese, often omit subjective or objective terms. Such ambiguities in que…

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2024

J-CRe3: A Japanese Conversation Dataset for Real-world Reference Resolution

Nobuhiro Ueda, Hideko Habe, Akishige Yuguchi, Seiya Kawano, Yasutomo Kawanishi, Sadao Kurohashi +1

COLING 2024main

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 users. In real-world reference resolution, a system must ground the verbal information that appears in user interactions…

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2023

Analysis of Style-Shifting on Social Media: Using Neural Language Model Conditioned by Social Meanings

Seiya Kawano, Shota Kanezaki, Angel Fernando Garcia Contreras, Akishige Yuguchi, Marie Katsurai, Koichiro Yoshino

EMNLP 2023long findings

In this paper, we propose a novel framework for evaluating style-shifting in social media conversations. Our proposed framework captures changes in an individual's conversational style based on surprisals predicted by a personalized neural language model for individuals. Our personalized language mo…

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2023

Operative Action Captioning for Estimating System Actions

Taiki Nakamura, Seiya Kawano, Akishige Yuguchi, Yasutomo Kawanishi, Koichiro Yoshino

ICRA 2023poster

Human-assistive systems, such as robots, need to correctly understand the surrounding situation based on obser-vations and output the required support actions for humans. Language is one of the important channels to communicate with humans, and robots are required to have the ability to express thei…

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