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How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions

arXiv:2606.08051v1 Announce Type: new Abstract: Financial transaction processing requires extracting structured merchant information from noisy, abbreviated bank transaction strings at scale. Our current production system, a LoRA-fine-tuned LLaMA 3.1-8B, achieves 96.95% F1 on this task, but deploying 8-billion-parameter models imposes prohibitive memory, latency, and cost constraints. To identify more efficient alternatives, we conduct a deployment-focused study of 24 model variants spanning...

arXiv CS 1d ago

Did Claude increase bugs in rsync?

A simple distributional analysis of every rsync release with bug data. Nothing complicated, answers only one question: are the Claude-assisted releases unusually buggy? In order to avoid accuastions of this "just being Claude defending Claude," "AI slop," "probably all hallucinations," etc., I've decided it's probably worth explaining a few key points about how this report was created: In late May 2026, rsync blew up.

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Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability

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Ontology-Constrained Neural Reasoning in Enterprise Agentic Systems: A Neurosymbolic Architecture for Domain-Grounded AI Agents

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