2 citations · 3 across the 5 of their papers we have counts for
5 papers
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
Chengzhi Liu, Zhongxing Xu, Qingyue Wei +5
Test-time compute has empowered multimodal large language models to generate extended reasoning chains, yielding strong performance on tasks such as multimodal math reasoning. Howe…
Multi-task Prompt Words Learning for Social Media Content Generation
Haochen Xue, Chong Zhang, Chengzhi Liu +2
The rapid development of the Internet has profoundly changed human life. Humans are increasingly expressing themselves and interacting with others on social media platforms. Howeve…
Better Sampling, towards Better End-to-end Small Object Detection
Zile Huang, Chong Zhang, Mingyu Jin +3
While deep learning-based general object detection has made significant strides in recent years, the effectiveness and efficiency of small object detection remain unsatisfactory. T…
MC-DBN: A Deep Belief Network-Based Model for Modality Completion
Zihong Luo, Zheng Tao, Yuxuan Huang +2
Recent advancements in multi-modal artificial intelligence (AI) have revolutionized the fields of stock market forecasting and heart rate monitoring. Utilizing diverse data sources…
Preconditioned geometric iterative methods for cubic B-spline interpolation curves
Chengzhi Liu, Yue Qiu, Li Zhang
The geometric iterative method (GIM) is widely used in data interpolation/fitting, but its slow convergence affects the computational efficiency. Recently, much work was done to gu…