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cs.CL2025
Correlation Dimension of Auto-Regressive Large Language Models
Xin Du, Kumiko Tanaka-Ishii
Large language models (LLMs) have achieved remarkable progress in natural language generation, yet they continue to display puzzling behaviors -- such as repetition and incoherence…
cs.CL2025
Scale-free Characteristics of Multilingual Legal Texts and the Limitations of LLMs
Haoyang Chen, Kumiko Tanaka-Ishii
We present a comparative analysis of text complexity across domains using scale-free metrics. We quantify linguistic complexity via Heaps' exponent (vocabulary growth), Taylor'…
cs.CL2025
Understanding Benchmark Language Under Weakened Formal Semantics
Haoyang Chen, Kumiko Tanaka-Ishii
State-of-the-art NLP benchmarks require interpretation of natural language that specifies conditions, procedures, and exceptions, often relying on implicit assumptions and external…