Suet-Ying Lam — accepted AI-conference papers

2025

Leveraging Human Production-Interpretation Asymmetries to Test LLM Cognitive Plausibility

Suet-Ying Lam, Qingcheng Zeng, Jingyi Wu, Rob Voigt

ACL 2025short

Whether large language models (LLMs) process language similarly to humans has been the subject of much theoretical and practical debate. We examine this question through the lens of the production-interpretation distinction found in human sentence processing and evaluate the extent to which instruct…

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2023

Large Language Models Are Partially Primed in Pronoun Interpretation

Suet-Ying Lam, Qingcheng Zeng, Kexun Zhang, Chenyu You, Rob Voigt

ACL 2023findings

While a large body of literature suggests that large language models (LLMs) acquire rich linguistic representations, little is known about whether they adapt to linguistic biases in a human-like way. The present study probes this question by asking whether LLMs display human-like referential biases…

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