5 papers
Scalpel: Fine-Grained Alignment of Attention Activation Manifolds via Mixture Gaussian Bridges to Mitigate Multimodal Hallucination
Ziqiang Shi, Rujie Liu, Shanshan Yu +2
Rapid progress in large vision-language models (LVLMs) has achieved unprecedented performance in vision-language tasks. However, due to the strong prior of large language models (L…
SchröMind: Mitigating Hallucinations in Multimodal Large Language Models via Solving the Schrödinger Bridge Problem
Ziqiang Shi, Rujie Liu, Shanshan Yu +2
Recent advancements in Multimodal Large Language Models (MLLMs) have achieved significant success across various domains. However, their use in high-stakes fields like healthcare r…
Attention to details, logits to truth: visual-aware attention and logits enhancement to mitigate hallucinations in LVLMs
Jingyi Wang, Fei Li, Rujie Liu
Existing Large Vision-Language Models (LVLMs) exhibit insufficient visual attention, leading to hallucinations. To alleviate this problem, some previous studies adjust and amplify…
Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2025
Jingzhe Ma, Meng Zhang, Jianlong Yu +34
Human identification at a distance (HID) is challenging because traditional biometric modalities such as face and fingerprints are often difficult to acquire in real-world scenario…
Generative Modelling with High-Order Langevin Dynamics
Ziqiang Shi, Rujie Liu
Diffusion generative modelling (DGM) based on stochastic differential equations (SDEs) with score matching has achieved unprecedented results in data generation. In this paper, we…