6 papers
Phased One-Step Adversarial Equilibrium for Video Diffusion Models
Jiaxiang Cheng, Bing Ma, Xuhua Ren +7
Video diffusion generation suffers from critical sampling efficiency bottlenecks, particularly for large-scale models and long contexts. Existing video acceleration methods, adapte…
EZYer: A simulacrum of high school with generative agent
Jinming Yang, Zimu Ji, Weiqi Luo +3
With the rapid development of the online education and large language model, the existing educational tools still suffer from incomplete service, insufficient performance and weak…
Beyond Reward Margin: Rethinking and Resolving Likelihood Displacement in Diffusion Models via Video Generation
Ruojun Xu, Yu Kai, Xuhua Ren +4
Direct Preference Optimization (DPO) has shown promising results in aligning generative outputs with human preferences by distinguishing between chosen and rejected samples. Howeve…
Design, Results and Industry Implications of the World's First Insurance Large Language Model Evaluation Benchmark
Hua Zhou, Bing Ma, Yufei Zhang +1
This paper comprehensively elaborates on the construction methodology, multi-dimensional evaluation system, and underlying design philosophy of CUFEInse v1.0. Adhering to the princ…
SemanticShield: LLM-Powered Audits Expose Shilling Attacks in Recommender Systems
Kaihong Li, Huichi Zhou, Bin Ma +1
Recommender systems (RS) are widely used in e-commerce for personalized suggestions, yet their openness makes them susceptible to shilling attacks, where adversaries inject fake be…
PersonaVlog: Personalized Multimodal Vlog Generation with Multi-Agent Collaboration and Iterative Self-Correction
Xiaolu Hou, Bing Ma, Jiaxiang Cheng +5
With the growing demand for short videos and personalized content, automated Video Log (Vlog) generation has become a key direction in multimodal content creation. Existing methods…