Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models
In 2026, we held the fourth iteration of the SHROOM Shared Task series: SHROOM-Visions (\textbf{S}hared-task on \textbf{H}allucinations and \textbf{R}elated \textbf{O}bservable \textbf{O}vergeneration \textbf{M}istakes in \textbf{Vision} language model\textbf{s}), which is hosted at the UncertaiNLP Workshop co-located with EMNLP 2026. Following the success of the 2024 and 2025 tasks, this time we aim to tackle hallucinations through a model-agnostic detection task focused on large vision-language models. Building on the recently introduced SHEEP dataset, designed for long-term evaluation acros
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- FuzzySimilar title/name (fuzzy) · 59%VioletVision-3B →
“Fuzzy title match (0.73): “Overview of SHROOM-Visions 2026: A Shared Task on Hallucinat” ≈ “VioletVision-3B””
- PossiblePossibly related (embedding) · 54%Models Produce Hallucinations Because of Probabilistic Training - Let's Data Science →
- FuzzySimilar title/name (fuzzy) · 84%pytorch/vision →
“Fuzzy title match (0.92): “Overview of SHROOM-Visions 2026: A Shared Task on Hallucinat” ≈ “pytorch/vision””
- FuzzyOverlapping authors or contributors · 62%sgl-project/sglang →
“Shared author/contributor keys: luo”
- LinkedLinked via arxiv author · 85%Raúl Vázquez →
“Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models”
- LinkedLinked via arxiv author · 85%Aman Sinha →
“Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models”
- LinkedLinked via arxiv author · 85%Chuyuan Li →
“Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models”
- LinkedLinked via arxiv author · 85%Claudio Savelli →
“Overview of SHROOM-Visions 2026: A Shared Task on Hallucination Detection in Large Vision-Language Models”
