5 citations · 8 across the 3 of their papers we have counts for
4 papers · 1 filter
Expanding the Set of Pragmatic Considerations in Conversational AI
S. M. Seals, Valerie L. Shalin
Despite considerable performance improvements, current conversational AI systems often fail to meet user expectations. We discuss several pragmatic limitations of current conversat…
Evaluating the Deductive Competence of Large Language Models
Spencer M. Seals, Valerie L. Shalin
The development of highly fluent large language models (LLMs) has prompted increased interest in assessing their reasoning and problem-solving capabilities. We investigate whether…
Long-form analogies generated by chatGPT lack human-like psycholinguistic properties
S. M. Seals, Valerie L. Shalin
Psycholinguistic analyses provide a means of evaluating large language model (LLM) output and making systematic comparisons to human-generated text. These methods can be used to ch…
Discourse over Discourse: The Need for an Expanded Pragmatic Focus in Conversational AI
S. M. Seals, Valerie L. Shalin
The summarization of conversation, that is, discourse over discourse, elevates pragmatic considerations as a pervasive limitation of both summarization and other applications of co…