hallucination detection

A research repo for reducing hallucinations in LLM-generated code using semantic triangulation, with setup, benchmarking, experimentation, and reproducibility instructions.

A Python package and CLI for checking how closely an AI-generated answer reuses its source text, with support for verbatim matching, subsequence matching, quotation verification, and pipeline gating.

Hedgemony is a Python tool that checks AI-written code for fabricated packages, invented APIs, impossible calls, and contradictions between code and stated examples, using interpreter and registry checks rather than another model.

A blog post about verifiable RAG that benchmarks open-source NLI verifiers against Claude on RAGTruth and describes a Python library for sentence-level citation and claim verification.

Giskard presents an AI red-teaming and continuous evaluation platform focused on finding hallucinations, security issues, and agent vulnerabilities. The page explains how it compares tools for agent-level testing, regression checks, and guardrail workflows.