activity
20242026
collaborators

6 papers

cs.CL2026

Where's the Indirect Evidence? Investigating Grammatical Generalization with Influence Functions

William Dai, Zhenghao Herbert Zhou, Maya Viswanathan +1

Language models generalize beyond their training corpus to learn linguistic phenomena (Patil et al., 2024; Misra and Mahowald, 2024), showing that there exists indirect evidence dr…

cs.CL2026

What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies

Zhenghao Herbert Zhou, William Dai, Maya Viswanathan +3

Children's acquisition of filler-gap dependencies has been argued by some to depend on innate grammatical knowledge, while others suggest that the distributional evidence available…

cs.CL2025

The Structural Sources of Verb Meaning Revisited: Large Language Models Display Syntactic Bootstrapping

Xiaomeng Zhu, R. Thomas McCoy, Robert Frank

Syntactic bootstrapping (Gleitman, 1990) is the hypothesis that children use the syntactic environments in which a verb occurs to learn its meaning. In this paper, we examine wheth…

cs.CL2025

Meaning Beyond Truth Conditions: Evaluating Discourse Level Understanding via Anaphora Accessibility

Xiaomeng Zhu, Zhenghao Zhou, Simon Charlow +1

We present a hierarchy of natural language understanding abilities and argue for the importance of moving beyond assessments of understanding at the lexical and sentence levels to…

cs.CL2024

Is In-Context Learning a Type of Error-Driven Learning? Evidence from the Inverse Frequency Effect in Structural Priming

Zhenghao Zhou, Robert Frank, R. Thomas McCoy

Large language models (LLMs) have shown the emergent capability of in-context learning (ICL). One line of research has claimed that ICL is functionally equivalent to gradient desce…

cs.CL2024

LIEDER: Linguistically-Informed Evaluation for Discourse Entity Recognition

Xiaomeng Zhu, Robert Frank

Discourse Entity (DE) recognition is the task of identifying novel and known entities introduced within a text. While previous work has found that large language models have basic,…