SIRIN: A Unified Toolkit for Detecting Contextual Hallucinations in Retrieval-Augmented and Memory-Grounded LLM Systems
arXiv cs.AIen
arXiv:2608.00033v1 Announce Type: new Abstract: SIRIN (Semantic Inconsistency Recognition and Inspection Nexus) is a unified toolkit and interactive web UI for detecting contextual hallucinations (fluent, plausible responses unsupported by the provided evidence) in retrieval-augmented, agentic, and memory-grounded LLM systems. SIRIN unifies three detector paradigms (representation probing, uncertainty estimation, and judge-style verification) and the complementary task of pre-generation query answerability under one interface, configuration system, and evaluation pipeline, supporting response- and span-level inspection in both white-box and black-box settings. The web UI enables live analysi
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Verktyg
- Forskning
- Agenter
- Företag
Related AI news
- Enterprise AI CRM startup Superleap raises Rs 36 crore from Peak XVEconomic Times Tech · August 4, 2026
- Högre chefer missbrukar skugg-AI dubbelt så ofta som vanliga anställdaComputer Sweden · August 4, 2026
- AI is helping Grab ship products more than 30% faster, CFO says, as company raises forecastsCNBC Technology · August 4, 2026
- Exclusive: Zurich-based Exclaim Robotics comes out of stealth, raises $4.95mSifted · August 4, 2026
- Avec l’introduction des « aperçus IA », « le Web et les applications mobiles pourraient n’avoir été qu’une étape intermédiaire dans la transformation numérique »Le Monde Pixels · August 4, 2026
- Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and AnalysisarXiv cs.AI · August 4, 2026