VisER: Visual Evidence and Reliance for Object Hallucination Detection in LVLMs

arXiv:2608.30480 · cs.CV, cs.LG · Submitted 2026-08-31 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-08-31

Updated: 2026-08-31

Code: https://github.com/AfsanehEB/VisER

Terminology

• Hallucination — 68× in this paper · explained in 3 episodes
• Visual Evidence — 37× in this paper
• Grounding — 25× in this paper · explained in 3 episodes
• Visual Reliance — 20× in this paper
• Hallucination Detection — 14× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Verification — 7× in this paper · explained in 2 episodes
• Visual Grounding — 6× in this paper · explained in 2 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 4× in this paper
• Instruction Tuning — 4× in this paper · explained in 2 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Calibration — 3× in this paper · explained in 7 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Negative Log-Likelihood — 2× in this paper
• Prelim Attention Score — 2× in this paper
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Abstention — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Empirical Methods in Natural Language Processing — 1× in this paper
• Generalization — 1× in this paper · explained in 13 episodes
• Hallucination Mitigation — 1× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 1× in this paper
• Meeting of the Association for Computational Linguistics — 1× in this paper
• Summed Visual Attention Ratio — 1× in this paper
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• Qwen2.5-VL Technical Report
• Hallucination of Multimodal Large Language Models: A Survey
• Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
• Evaluation and Analysis of Hallucination in Large Vision-Language Models
• A Survey on Hallucination in Large Vision-Language Models
• InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

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