SOURCE-LINKED INTELLIGENCE

Before the Arrest: Benchmarking LLMs on Criminal Profiling from Incomplete Evidence

arXiv · AI, language, vision and robotics · article · Sep 17, 2026 · UTC

Large Language Models (LLMs) are increasingly applied to legal and criminal justice tasks, yet existing work focuses almost exclusively on post-arrest scenarios where the suspect's identity is already known, leaving the critical pre-arrest challenge of inferring suspect characteristics from incomplete evidence largely unexplored. To fill this gap, we introduce the Profiling, Investigation, and Judgment (PIJ), comprising 2,500 real homicide cases from five countries. PIJ evaluates LLMs across three tasks that span the entire criminal investigation pipeline: criminal profiling, which requires ab

Read original source ↗ Open in workspace

recordType

paper

region

Global