cs.CLOct 15, 2026

alkhder at ImageEval 2026 Shared Tasks: Constrained Selection and Rotation-Averaged Logit Scoring for Multimodal Hallucination Detection

Authors: Maher Pasa, Maria Hanini, Amro Najjar, Hasan Alkhder

Organizations: Altınbaş University, Türkiye · Imperial College London · Luxembourg Institute of Science and Technology · Sakarya University, Türkiye

Abstract

We describe our submission to Subtask~1b of ImageEval 2026. The task consists of selecting the single visually valid statement from three candidates paired with an image, and is in both English and Modern Standard Arabic (MSA). Our system uses a pre-trained 7B vision--language model in a zero-shot setting, without task-specific training or fine-tuning. We formulate the task as a constrained selection problem and choose the answer using next-token log-probabilities. To reduce answer-position bias, we apply a Latin-square rotation to the candidate statements. Our system achieves CI scores of 0.0510 on the English test set and 0.0960 on the MSA test set, reducing CI relative to the official 3B baselines reported on devtest by 83.7% and 80.4%, respectively.

Figures & tables

Appendix figures & tables2 assets

Supplementary material from the paper’s appendix.

Appendix

Explore similar work

CardsList
  1. ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation

    Aug 31, 2026Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti +11Hallucination DetectionT2I Generation

  2. FAU at ImageCLEF 2026 Task on Multimodal Reasoning Robust Candidate Scoring and Concise Multilingual Visual Answering

    Aug 3, 2026Mohamed Basem, Vincent ChristleinVisual Question AnsweringMultimodal Reasoning