papersSEP 10 04:00 UTC
Two-token features and small-large VLM ensembles for hallucination detection at SHROOM-Visions 2026
Researchers present their system for the SHROOM-Visions 2026 shared task, which targets character-level detection of hallucinations in vision-language model outputs. The method fine-tunes a 4-billion-parameter VLM as a per-token classifier that reads a two-token feature from its own hidden states, then combines it with larger models in an ensemble.