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arXiv · 2311.13061

Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue

Aron Molnar·Jaap Jumelet·Mario Giulianelli·Arabella Sinclair
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Abstract

Language models are often used as the backbone of modern dialogue systems. These models are pre-trained on large amounts of written fluent language. Repetition is typically penalised when evaluating language model generations. However, it is a key component of dialogue. Humans use local and partner specific repetitions; these are preferred by human users and lead to more successful communication in dialogue. In this study, we evaluate (a) whether language models produce human-like levels of repetition in dialogue, and (b) what are the processing mechanisms related to lexical re-use they use during comprehension. We believe that such joint analysis of model production and comprehension behaviour can inform the development of cognitively inspired dialogue generation systems.

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Aron Molnar, Jaap Jumelet, Mario Giulianelli, Arabella Sinclair. 2023-11-21. Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue. https://arxiv.org/abs/2311.13061

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