SIRIN unifies hallucination detectors for retrieval-augmented and memory-grounded LLMs
_reachsumit · x · 2026-08-04
SIRIN is presented as a unified toolkit and interactive web UI for detecting contextual hallucinations in retrieval-augmented, agentic, and memory-grounded LLM systems.
It combines three detector families—representation probing, uncertainty estimation, and judge-style verification—plus pre-generation query answerability checks in one interface and evaluation pipeline. The toolkit supports response- and span-level inspection, a plug-in design for new detectors, and live analysis of user-supplied context-query-answer triples. The paper also shows SIRIN being used for hallucination detection, answerability checks, and as a faithfulness gate for long-term memory systems, with code released publicly.
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