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S. M. Seals

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL3
ORCID 0000-0002-3175-2681

identity via Semantic Scholar / OpenAlex

most citedLong-form analogies generated by chatGPT lack human-like psycholinguistic properties

5 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2023

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…

cs.CL2023★ 5 cited

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…

cs.CL2023★ 3 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.