Fanglong Liu — accepted AI-conference papers

2026

CoLoGen: Progressive Learning of Concept-Localization Duality for Unified Image Generation

Yuxin Song, Yu Lu, Haoyuan Sun, Huanjin Yao, Fanglong Liu, Yifan Sun +3

CVPR 2026

Unified conditional image generation remains difficult because different tasks depend on fundamentally different internal representations. Some require conceptual understanding for semantic synthesis, while others rely on localization cues for spatial precision. Forcing these heterogeneous tasks to

Cited by 3 Source ↗code ↗Scholar ↗

2024

Automated Multi-level Preference for MLLMs

Mengxi Zhang, Wenhao Wu, Yu Lu, YuXin Song, KANG RONG, Huanjin Yao +5

NeurIPS 2024poster

Current multimodal Large Language Models (MLLMs) suffer from ''hallucination'', occasionally generating responses that are not grounded in the input images. To tackle this challenge, one promising path is to utilize reinforcement learning from human feedback (RLHF), which steers MLLMs towards learni…

Cited by 8 Source ↗PDF ↗code ↗Scholar ↗