Tag: AI hallucination detection
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Detect Hallucinations in SpeechLLMs Using Attention Maps
Discover effective methods to detect hallucinations in Speech Large Language Models at inference time using attention-derived metrics for improved reliabil...
HalluAudio: Benchmark for Hallucination Detection in LALMs
Discover HalluAudio, the first large-scale benchmark to detect hallucinations in large audio-language models across speech, music, and environmental sounds...
LLM-as-Judge Framework to Detect Hallucination in VLMs
Discover the LLM-as-Judge framework and Ghost-100 benchmark for evaluating tone-induced hallucination in vision-language models with improved accuracy.
VIB-Probe: Reducing Hallucinations in Vision-Language Models
Discover how VIB-Probe uses Variational Information Bottleneck to detect and mitigate hallucinations in Vision-Language Models for improved accuracy.
TPA: Detecting Hallucinations in RAG with Token Attribution
Discover TPA, a novel method for detecting hallucinations in Retrieval-Augmented Generation by attributing next token probabilities to key model components...