3 papers
cs.CV2026
Game2World Engine: Unlocking In-the-Wild Gameplay Videos for World Model Training
Wenxuan Shen, Dongna Jin, Dongping Chen
Video games provide a scalable source of training data for video world models, offering diverse environments, complex interactions, and abundant in-the-wild gameplay videos. Howeve…
cs.CL2025
Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?
Wenxuan Shen, Mingjia Wang, Yaochen Wang +4
Retrieval-Augmented Generation (RAG) systems using Multimodal Large Language Models (MLLMs) show great promise for complex document understanding, yet their development is critical…
cs.CL2025
CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM Wisdom
Yisen Li, Lingfeng Yang, Wenxuan Shen +4
Distilling advanced Large Language Models' instruction-following capabilities into smaller models using a selected subset has become a mainstream approach in model training. While…