Author

Shu-Ran Ma

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Review Oct 2026

EvaOmni: An Evidence-Grounded Benchmark for Audio-Visual Reasoning

Omni LLMs can naturally locate key audio and visual evidence and integrate information across modalities for audiovisual reasoning. Existing audio-visual reasoning benchmarks that mainly rely on multiple-choice questions usually score models solely based on answer correctness, making it difficult to assess whether a mo...

Xiao-Xing Hu, Wen-Xi Yao, Chao-Yuan Shi et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Beyond Visual Enhancement: Adaptive Multi-Context Steering to Mitigate LVLM Hallucinations

Hallucination remains a significant challenge in Large Vision-Language Models (LVLMs). Existing training-free methods generally mitigate hallucinations through contrastive decoding or visual enhancement, often increasing the relative influence of visual evidence during generation. This raises a fundamental question: Ca...

Shu-Ran Ma, Jia-Le Li, Yu-Xi Dong et al. · 0 citations