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#anomaly-detection

Anomaly Detection

Detecting irregularities and duplicate entries in plain-text ledger data

2 postsView all tags
AD-LLM Benchmark: GPT-4o Hits 0.93+ AUROC Zero-Shot for Text Anomaly Detection
·mike

AD-LLM Benchmark: GPT-4o Hits 0.93+ AUROC Zero-Shot for Text Anomaly Detection

AD-LLM benchmarks GPT-4o and Llama 3.1 8B across three anomaly detection roles — zero-shot detector, data augmenter, and model selector — on five NLP datasets; GPT-4o reaches AUROC 0.93–0.99 zero-shot, but LLM-based model selection remains unreliable, with direct implications for financial audit AI.

llm
ai
machine-learning
CausalTAD: Causal Column Ordering for LLM Tabular Anomaly Detection
·mike

CausalTAD: Causal Column Ordering for LLM Tabular Anomaly Detection

CausalTAD improves LLM-based tabular anomaly detection by reordering table columns to respect causal dependencies before serialization, lifting average AUC-ROC from 0.803 to 0.834 over AnoLLM on mixed-type benchmarks — with direct implications for detecting anomalies in structured ledger data.

llm
ai
machine-learning