Papers by Taeyoung Kim

1 papers
Mixed-Session Conversation with Egocentric Memory (2024.findings-emnlp)

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Challenge: Recent dialogue systems exhibit an inability to replicate dynamic, continuous, long-term interactions involving multiple partners.
Approach: They propose a multi-session dialogue system that builds on real-world interactions by integrating deep layered interactions and widening conversation networks.
Outcome: The proposed system is based on a dataset of 6 consecutive dialogue episodes with four speakers (one main speaker and three partners) appearing in each episode.

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