SpanCalib-VLM Hybrid System Reduces Hallucinations in Vision-Language Models
August 29, 2026
SpanCalib-VLM combines a multimodal sequence tagger using XLM-RoBERTa-Large and SigLIP with a fine-tuned Qwen3.5-4B model to detect hallucinated spans. A Union-Calibrated Fusion strategy re-scores generative candidates with calibrated probabilities to balance recall and inference latency.
HOW THIS AFFECTS YOU
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builderYou can implement this hybrid approach to achieve more reliable hallucination detection in production VLMs.
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researcherThe fusion of discriminative and generative systems provides a more calibrated way to handle span localization.