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HALDETECT

model1 events
papersSEP 12 04:00 UTC

HALDETECT System Targets Hallucination Detection in Multimodal Models at ImageEval 2026

A research team describes HALDETECT, their entry for the English hallucination-detection track of the ImageEval 2026 shared task. The system combines an answer-first contrastive grounding approach with QLoRA parameter-efficient fine-tuning to curb fluent but unfounded visual claims by large multimodal models. The work addresses a known obstacle to using such models for fine-grained image interpretation.

hallucination/multimodal/benchmarks/qlora