98 citations · 358 across the 24 of their papers we have counts for
6 papers · 1 filter
A Cross Attention Approach to Diagnostic Explainability using Clinical Practice Guidelines for Depression
Sumit Dalal, Deepa Tilwani, Kaushik Roy +4
The lack of explainability using relevant clinical knowledge hinders the adoption of Artificial Intelligence-powered analysis of unstructured clinical dialogue. A wealth of relevan…
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…
Why Do We Need Neuro-symbolic AI to Model Pragmatic Analogies?
Thilini Wijesiriwardene, Amit Sheth, Valerie L. Shalin +1
A hallmark of intelligence is the ability to use a familiar domain to make inferences about a less familiar domain, known as analogical reasoning. In this article, we delve into th…
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…