Jiarui Ma — accepted AI-conference papers

2026

Circular-DPO: Aligning Multi-Stage 3D Generative Models via Preference Feedback Loop

Zejian Li, Jiarui Ma, Han Xu, Weiting Zheng, Yangrui Zhu, Chenye Meng +7

CVPR 2026

Multi-stage generative models have shown great promise in 3D content creation due to focused generation of structure or texture in different stages, but their outputs often fail to align with human preferences. The key bottleneck to apply alignment methods is the presence of non-differentiable opera

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2025

LLM-empowered Dynamic Prompt Routing for Vision-Language Models Tuning under Long-Tailed Distributions

Yongju Jia, Jiarui Ma, Xiangxian Li, Baiqiao Zhang, Xianhui Cao, Juan Liu +1

EMNLP 2025

Pre-trained vision-language models (VLMs), such as CLIP, have demonstrated impressive capability in visual tasks, but their fine-tuning often suffers from bias in class-imbalanced scenes. Recent works have introduced large language models (LLMs) to enhance VLM fine-tuning withsupplementaryy semantic

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