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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,…