jianzhang gao — accepted AI-conference papers

2026

JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation

Jianghan Chao, jianzhang gao, Wenhui Tan, Yuchong Sun, Ruihua Song, Liyun Ru

ICLR 2026poster

Understanding videos inherently requires reasoning over both visual and auditory information. To properly evaluate Omni-Large Language Models (Omni-LLMs), which are capable of processing multi-modal information including vision and audio, an effective benchmark must comprehensively cover three key a…

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2025

JavisGPT: A Unified Multi-modal LLM for Sounding-Video Comprehension and Generation

Kai Liu, Jungang Li, Yuchong Sun, Shengqiong Wu, jianzhang gao, Daoan Zhang +10

NeurIPS 2025spotlight

This paper presents JavisGPT, the first unified multimodal large language model (MLLM) for Joint Audio-Video (JAV) comprehension and generation. JavisGPT adopts a concise encoder–LLM–decoder architecture, featuring a SyncFusion module for spatio-temporal audio- video fusion and synchrony-aware learn…

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