6 papers · 1 filter
Drifting Preference Optimization for One-Step Generative Models
Zhou Jiang, Yandong Wen, Zhen Liu
One-step text-to-image generators are attractive for deployment because they generate an image with a single forward pass, but preference finetuning them remains difficult: standar…
CoMIC: Collaborative Memory and Insights Circulation for Long-Horizon LLM Agents in Web Cloud-Edge Systems
Yannan Wang, Longli Yang, Zhen Liu +2
LLM-based Web agents are increasingly deployed on edge servers to carry out long-horizon tasks on behalf of users with low latency. However, the lightweight models that fit on edge…
EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards
Ruixiang Wang, Qingming Liu, Yueci Deng +3
Video generative models offer a promising basis for robotic planning by predicting future visual rollouts from observations and task instructions. However, their training objective…
GameUIAgent: An LLM-Powered Framework for Automated Game UI Design with Structured Intermediate Representation
Wei Zeng, Fengwei An, Zhen Liu +1
Game UI design requires consistent visual assets across rarity tiers yet remains a predominantly manual process. We present GameUIAgent, an LLM-powered agentic framework that trans…
Rethinking Preference Alignment for Diffusion Models with Classifier-Free Guidance
Zhou Jiang, Yandong Wen, Zhen Liu
Aligning large-scale text-to-image diffusion models with nuanced human preferences remains challenging. While direct preference optimization (DPO) is simple and effective, large-sc…
Scalable Generative Game Engine: Breaking the Resolution Wall via Hardware-Algorithm Co-Design
Wei Zeng, Xuchen Li, Ruili Feng +3
Real-time generative game engines represent a paradigm shift in interactive simulation, promising to replace traditional graphics pipelines with neural world models. However, exist…