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cs.CL2025
Bearing Syntactic Fruit with Stack-Augmented Neural Networks
Brian DuSell, Ryan Cotterell
When children learn language, they make syntactic generalizations based on hierarchical rules. A recent line of work has inquired as to whether common neural network architectures…
cs.CL2025
Language Models over Canonical Byte-Pair Encodings
Tim Vieira, Tianyu Liu, Clemente Pasti +7
Modern language models represent probability distributions over character strings as distributions over (shorter) token strings derived via a deterministic tokenizer, such as byte-…
cs.CL2025
Information Locality as an Inductive Bias for Neural Language Models
Taiga Someya, Anej Svete, Brian DuSell +3
Inductive biases are inherent in every machine learning system, shaping how models generalize from finite data. In the case of neural language models (LMs), debates persist as to w…