466 citations · 732 across the 25 of their papers we have counts for
6 papers · 1 filter
Binary-30K: A Heterogeneous Dataset for Deep Learning in Binary Analysis and Malware Detection
Michael J. Bommarito
Deep learning research for binary analysis faces a critical infrastructure gap. Today, existing datasets target single platforms, require specialized tooling, or provide only hand-…
OpenGloss: A Synthetic Encyclopedic Dictionary and Semantic Knowledge Graph
Michael J. Bommarito
We present OpenGloss, a synthetic encyclopedic dictionary and semantic knowledge graph for English that integrates lexicographic definitions, encyclopedic context, etymological his…
Binary BPE: A Family of Cross-Platform Tokenizers for Binary Analysis
Michael J. Bommarito
Sequence models for binary analysis are bottlenecked by byte-level tokenization: raw bytes waste precious context window capacity for transformers and other neural network architec…
The KL3M Data Project: Copyright-Clean Training Resources for Large Language Models
Michael J Bommarito, Jillian Bommarito, Daniel Martin Katz
Practically all large language models have been pre-trained on data that is subject to global uncertainty related to copyright infringement and breach of contract. This creates pot…
Precise Legal Sentence Boundary Detection for Retrieval at Scale: NUPunkt and CharBoundary
Michael J Bommarito, Daniel Martin Katz, Jillian Bommarito
We present NUPunkt and CharBoundary, two sentence boundary detection libraries optimized for high-precision, high-throughput processing of legal text in large-scale applications su…
KL3M Tokenizers: A Family of Domain-Specific and Character-Level Tokenizers for Legal, Financial, and Preprocessing Applications
Michael J Bommarito, Daniel Martin Katz, Jillian Bommarito
We present the KL3M tokenizers, a family of specialized tokenizers for legal, financial, and governmental text. Despite established work on tokenization, specialized tokenizers for…