Haoze Liu — accepted AI-conference papers

2026

TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models

Hui Wang, Cheng Liu, Junyang Chen, Haoze Liu, Yuhang Jia, Shiwan Zhao +4

AAAI 2026technical

Text-to-Audio (TTA) generation has made rapid progress, but current evaluation methods remain narrow, focusing mainly on perceptual quality while overlooking robustness, generalization, and ethical concerns. We present TTA-Bench, a comprehensive benchmark for evaluating TTA models across functional

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2026

Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction–Reasoning Synergy

Haijier Chen, Bo Xu, Shoujian zhang, Haoze Liu, Jiaxuan Lin, Jingrong Wang

ICLR 2026oral

Recent developments in Multimodal Large Language Models (MLLMs) have significantly improved Vision–Language (VL) reasoning in 2D domains. However, extending these capabilities to 3D scene understanding remains a major challenge. Existing 3D Multimodal Large Language Models (3D-MLLMs) often depend on…

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