Findings of the First Workshop on Simulating Conversational Intelligence in Chat
<|reference_start|>Findings of the First Workshop on Simulating Conversational Intelligence in Chat: The aim of this workshop is to bring together experts working on open-domain dialogue research. In this speedily advancing research area many challenges still exist, such as learning information from conversations, engaging in realistic and convincing simulation of human intelligence and reasoning. SCI-CHAT follows previous workshops on open domain dialogue but with a focus on the simulation of intelligent conversation as judged in a live human evaluation. Models aim to include the ability to follow a challenging topic over a multi-turn conversation, while positing, refuting and reasoning over arguments. The workshop included both a research track and shared task. The main goal of this paper is to provide an overview of the shared task and a link to an additional paper that will include an in depth analysis of the shared task results following presentation at the workshop.<|reference_end|>
@article{graham2024findings,
    title={Findings of the First Workshop on Simulating Conversational Intelligence
  in Chat},
    author={Yvette Graham, Mohammed Rameez Qureshi, Haider Khalid, Gerasimos
  Lampouras, Ignacio Iacobacci, Qun Liu},
    journal={arXiv preprint arXiv:2402.06420},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.06420},
    primaryClass={cs.CL}
}