CDS-trained BabyLMs show earlier and more appropriate production in a new frame-completion task while FineWeb-edu models lead on comprehension benchmarks, indicating current tests underestimate CDS benefits.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Stochastic tokenisation during pre-training and fine-tuning improves LLM robustness to perturbations while preserving accuracy.
citing papers explorer
-
Child-directed speech facilitates production, not comprehension, in BabyLMs
CDS-trained BabyLMs show earlier and more appropriate production in a new frame-completion task while FineWeb-edu models lead on comprehension benchmarks, indicating current tests underestimate CDS benefits.
-
Stochasticity in Tokenisation Improves Robustness
Stochastic tokenisation during pre-training and fine-tuning improves LLM robustness to perturbations while preserving accuracy.