Awesome Hallucination Detection Papers and Source Codes

Bi’an: Detect RAG Hallucinations Accurately with a Bilingual Benchmark and Lightweight Judge Models 8343

Retrieval-Augmented Generation (RAG) has become a go-to strategy for grounding large language model (LLM) responses in real-world knowledge. By pulling…

12/19/2025Factuality Evaluation, Hallucination Detection, Retrieval-Augmented Generation

UQLM: Detect LLM Hallucinations with Uncertainty Quantification—Confidence Scoring Made Practical 1079

Large Language Models (LLMs) are transforming how we build intelligent applications—from customer service bots to clinical decision support tools. Yet…

12/18/2025Hallucination Detection, LLM Reliability, Uncertainty Quantification