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cs.CL2026

FrontierFinance: A Long-Horizon Computer-Use Benchmark of Real-World Financial Tasks

Michael Krumdick, Varshini Reddy, Shivani Chaudhary +8

As concerns surrounding AI-driven labor displacement intensify in knowledge-intensive sectors, existing benchmarks fail to measure performance on tasks that define practical profes…

cs.CL2025

On Finding Inconsistencies in Documents

Charles J. Lovering, Seth Ebner, Brandon Smock +5

Professionals in academia, law, and finance audit their documents because inconsistencies can result in monetary, reputational, and scientific costs. Language models (LMs) have the…

cs.CL2025

Entropy-Driven Pre-Tokenization for Byte-Pair Encoding

Yifan Hu, Frank Liang, Dachuan Zhao +4

Byte-Pair Encoding (BPE) has become a widely adopted subword tokenization method in modern language models due to its simplicity and strong empirical performance across downstream…

cs.CL2025

Boundless Byte Pair Encoding: Breaking the Pre-tokenization Barrier

Craig W. Schmidt, Varshini Reddy, Chris Tanner +1

Pre-tokenization, the initial step in many modern tokenization pipelines, segments text into smaller units called pretokens, typically splitting on whitespace and punctuation. Whil…

cs.CL2025

How Much is Enough? The Diminishing Returns of Tokenization Training Data

Varshini Reddy, Craig W. Schmidt, Yuval Pinter +1

Tokenization, a crucial initial step in natural language processing, is governed by several key parameters, such as the tokenization algorithm, vocabulary size, pre-tokenization st…