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cs.CV2026
The Evidence Anchoring Boundary: Where Visual Interventions Matter and When They Help in Multimodal LLMs
Qiji Zhou, Junyi Hu, Peiyu Wang +1
Visual interventions provide a training-free way to reduce hallucinations in multimodal large language models. However, an intervention may have little leverage at some layers and…
cs.CV2025
Reasoning is All You Need for Video Generalization: A Counterfactual Benchmark with Sub-question Evaluation
Qiji Zhou, Yifan Gong, Guangsheng Bao +5
Counterfactual reasoning is crucial for robust video understanding but remains underexplored in existing multimodal benchmarks. In this paper, we introduce \textbf{COVER} (\textbf{…