3 papers
cs.CL2026
Big Reasoning with Small Models: Instruction Retrieval at Inference Time
Kenan Alkiek, David Jurgens, Vinod Vydiswaran
Small language models (SLMs) enable low-cost, private, on-device inference, but they often fail on problems that require specialized domain knowledge or multi-step reasoning. Exist…
cs.CL2025
Tokenization is Sensitive to Language Variation
Anna Wegmann, Dong Nguyen, David Jurgens
Variation in language is ubiquitous and often systematically linked to regional, social, and contextual factors. Tokenizers split texts into smaller units and might behave differen…
cs.CL2025
Neurobiber: Fast and Interpretable Stylistic Feature Extraction
Kenan Alkiek, Anna Wegmann, Jian Zhu +1
Linguistic style is pivotal for understanding how texts convey meaning and fulfill communicative purposes, yet extracting detailed stylistic features at scale remains challenging.…