2 papers
cs.CV2025
LAST: LeArning to Think in Space and Time for Generalist Vision-Language Models
Shuai Wang, Daoan Zhang, Tianyi Bai +3
Humans can perceive and understand 3D space and long videos from sequential visual observations. But do vision-language models (VLMs) can? Recent work demonstrates that even state-…
cs.CL2025
AgenticMath: Enhancing LLM Reasoning via Agentic-based Math Data Generation
Xianyang Liu, Yilin Liu, Shuai Wang +5
The creation of high-quality datasets to improve Large Language Model (LLM) reasoning remains a significant challenge, as current methods often suffer from generating low-quality/i…