most citedDecoding Probing: Revealing Internal Linguistic Structures in Neural Language Models using Minimal Pairs

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CL2025

XCOMPS: A Multilingual Benchmark of Conceptual Minimal Pairs

Linyang He, Ercong Nie, Sukru Samet Dindar +10

We introduce XCOMPS in this work, a multilingual conceptual minimal pair dataset covering 17 languages. Using this dataset, we evaluate LLMs' multilingual conceptual understanding…

cs.CL2024

Large Language Models as Neurolinguistic Subjects: Discrepancy between Performance and Competence

Linyang He, Ercong Nie, Helmut Schmid +3

This study investigates the linguistic understanding of Large Language Models (LLMs) regarding signifier (form) and signified (meaning) by distinguishing two LLM assessment paradig…

cs.CL2024★ 1 cited

Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models using Minimal Pairs

Linyang He, Peili Chen, Ercong Nie +2

Inspired by cognitive neuroscience studies, we introduce a novel `decoding probing' method that uses minimal pairs benchmark (BLiMP) to probe internal linguistic characteristics in…