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Chang-Tien Lu

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Preprint Aug 2026

GeoRisk-RAG: A Hierarchy-Aware Risk Framework for Improving RAG Reliability through Selective Answering

Current work on improving reliability in large language model (LLM)- generated answers has primarily leveraged Retrieval-Augmented Generation (RAG), knowledge-graph augmentation, and reinforcement learning. While these methods are adept at enhancing and measuring reliability through semantic similarity and faithfulness...

M. Ravi, Shailik Sarkar, Lulwah Alkulaib et al. · 0 citations
Book Open access Jul 2026

SecMutBench: Evaluating LLM-Generated Security Tests via Mutation-Based Vulnerability Detection

The Security Mutation Score (SMS) is proposed, a metric that classifies mutant kills into semantic, functional, incidental, and crash categories using operator-aware heuristics, distinguishing genuine security awareness from coincidental detection.

Mariam Almutairi, Chang-Tien Lu · 0 citations

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