Author

Hongbo Liu

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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

Preprint Aug 2026

Video-IFBench: Evaluating Instruction Following of Multimodal LLMs in Video Understanding Scenarios

This work conducts a large-scale evaluation of more than 20 recent MLLMs and shows that video instruction following remains challenging for current models, especially for instructions with many constraints, semantic constraints, or complex conditional structures that require selecting the correct branch or path based o...

Hongbo Liu, Peixian Chen, Siyuan Liu et al. · 0 citations