6 papers
Cognitive Loop of Thought: Reversible Hierarchical Markov Chain for Efficient Mathematical Reasoning
Jia-Chen Zhang, Yu-Jie Xiong, Zheng Zhou
Multi-step Chain-of-Thought (CoT) has significantly advanced the mathematical reasoning capabilities of LLMs by leveraging explicit reasoning steps. However, the widespread adoptio…
Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
Zheng Zhou, Yu-Jie Xiong, Jia-Chen Zhang +3
The emergence of 3D Gaussian Splatting (3DGS) has significantly advanced Novel View Synthesis (NVS) through explicit scene representation, enabling real-time photorealistic renderi…
Sugar-Coated Poison: Benign Generation Unlocks LLM Jailbreaking
Yu-Hang Wu, Yu-Jie Xiong, Hao Zhang +2
With the increasingly deep integration of large language models (LLMs) across diverse domains, the effectiveness of their safety mechanisms is encountering severe challenges. Curre…
Multi-Sample Anti-Aliasing and Constrained Optimization for 3D Gaussian Splatting
Zheng Zhou, Jia-Chen Zhang, Yu-Jie Xiong +1
Recent advances in 3D Gaussian splatting have significantly improved real-time novel view synthesis, yet insufficient geometric constraints during scene optimization often result i…
Wavelet Mixture of Experts for Time Series Forecasting
Zheng Zhou, Yu-Jie Xiong, Jia-Chen Zhang +2
The field of time series forecasting is rapidly advancing, with recent large-scale Transformers and lightweight Multilayer Perceptron (MLP) models showing strong predictive perform…
CausalDiffTab: Mixed-Type Causal-Aware Diffusion for Tabular Data Generation
Jia-Chen Zhang, Zheng Zhou, Yu-Jie Xiong +2
Training data has been proven to be one of the most critical components in training generative AI. However, obtaining high-quality data remains challenging, with data privacy issue…