Papers by Suet-Ying Lam
Leveraging Human Production-Interpretation Asymmetries to Test LLM Cognitive Plausibility (2025.acl-short)
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| Challenge: | Existing research on the linguistic capabilities of large language models has focused on their performance in language interpretation. |
| Approach: | They examine whether large language models (LLMs) process language similarly to humans . they use an empirically documented asymmetry between production and interpretation in humans a testbed . |
| Outcome: | The proposed model can replicate human-like distinctions between production and interpretation. |
Large Language Models Are Partially Primed in Pronoun Interpretation (2023.findings-acl)
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| Challenge: | Existing studies suggest large language models acquire rich linguistic representations, but little is known about whether they adapt to linguistic biases in a human-like way. |
| Approach: | They examine whether large language models display human-like referential biases using stimuli and procedures from real psycholinguistic experiments. |
| Outcome: | The proposed models display human-like referential biases when exposed to referential patterns in the local context. |