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05/22/2023
Prompt-based methods may underestimate large language models' linguistic generalizations
Prompting is now a dominant method for evaluating the linguistic knowled...
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04/07/2023
Expectations over Unspoken Alternatives Predict Pragmatic Inferences
Scalar inferences (SI) are a signature example of how humans interpret l...
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12/13/2022
A fine-grained comparison of pragmatic language understanding in humans and language models
Pragmatics is an essential part of communication, but it remains unclear...
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11/15/2022
Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches
People rely heavily on context to enrich meaning beyond what is literall...
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09/22/2021
Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models
Prior work has shown that structural supervision helps English language ...
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08/12/2021
Scalable pragmatic communication via self-supervision
Models of context-sensitive communication often use the Rational Speech ...
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06/02/2020
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior
Human reading behavior is tuned to the statistics of natural language: t...
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05/13/2020
A Rate-Distortion view of human pragmatic reasoning
What computational principles underlie human pragmatic reasoning? A prom...
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05/07/2020
A Systematic Assessment of Syntactic Generalization in Neural Language Models
State-of-the-art neural network models have achieved dizzyingly low perp...
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03/11/2018
