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cs.CL2025
Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering
Polina Tsvilodub, Robert D. Hawkins, Michael Franke
Computational models of pragmatic language use have traditionally relied on hand-specified sets of utterances and meanings, limiting their applicability to real-world language use.…
cs.CL2025
Non-literal Understanding of Number Words by Language Models
Polina Tsvilodub, Kanishk Gandhi, Haoran Zhao +3
Humans naturally interpret numbers non-literally, effortlessly combining context, world knowledge, and speaker intent. We investigate whether large language models (LLMs) interpret…