Brain Score remains similar when language models are trained on diverse natural languages or on structured non-language data like DNA and code, indicating the metric tracks shared structural extraction but is not diagnostic of human-like language processing.
Dryer and Martin Haspelmath, editors
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
other 1
citation-polarity summary
verdicts
UNVERDICTED 3roles
other 1polarities
unclear 1representative citing papers
COMPASS uses semantic clustering on multilingual embeddings to select auxiliary data for PEFT adapters, outperforming linguistic-similarity baselines on multilingual benchmarks while supporting continual adaptation.
Different types of syntactic agreement recruit overlapping units within LLMs, indicating that agreement forms a meaningful functional category across English, Russian, Chinese, and structurally similar languages.
citing papers explorer
-
Brain Score Tracks Shared Properties of Languages: Evidence from Many Natural Languages and Structured Sequences
Brain Score remains similar when language models are trained on diverse natural languages or on structured non-language data like DNA and code, indicating the metric tracks shared structural extraction but is not diagnostic of human-like language processing.
-
COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling
COMPASS uses semantic clustering on multilingual embeddings to select auxiliary data for PEFT adapters, outperforming linguistic-similarity baselines on multilingual benchmarks while supporting continual adaptation.
-
Different types of syntactic agreement recruit the same units within large language models
Different types of syntactic agreement recruit overlapping units within LLMs, indicating that agreement forms a meaningful functional category across English, Russian, Chinese, and structurally similar languages.