3 citations · 3 across the 15 of their papers we have counts for
4 papers · 1 filter
Cognitive Modeling with Scaffolded LLMs: A Case Study of Referential Expression Generation
Polina Tsvilodub, Michael Franke, Fausto Carcassi
To what extent can LLMs be used as part of a cognitive model of language generation? In this paper, we approach this question by exploring a neuro-symbolic implementation of an alg…
Bayesian Statistical Modeling with Predictors from LLMs
Michael Franke, Polina Tsvilodub, Fausto Carcassi
State of the art large language models (LLMs) have shown impressive performance on a variety of benchmark tasks and are increasingly used as components in larger applications, wher…
Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded Disjunctions
Polina Tsvilodub, Paul Marty, Sonia Ramotowska +2
Human communication is based on a variety of inferences that we draw from sentences, often going beyond what is literally said. While there is wide agreement on the basic distincti…
Predictions from language models for multiple-choice tasks are not robust under variation of scoring methods
Polina Tsvilodub, Hening Wang, Sharon Grosch +1
This paper systematically compares different methods of deriving item-level predictions of language models for multiple-choice tasks. It compares scoring methods for answer options…