3 papers
cs.CV2025
PEVLM: Parallel Encoding for Vision-Language Models
Letian Kang, Shixian Luo, Yiqiang Li +5
Vision-Language Models (VLMs) have demonstrated strong capabilities in multimodal understanding and generation tasks. However, their application to long video understanding remains…
cs.AI2025
GeoGramBench: Benchmarking the Geometric Program Reasoning in Modern LLMs
Shixian Luo, Zezhou Zhu, Yu Yuan +3
Geometric spatial reasoning forms the foundation of many applications in artificial intelligence, yet the ability of large language models (LLMs) to operate over geometric spatial…
cs.CL2025
Cognitive Memory in Large Language Models
Lianlei Shan, Shixian Luo, Zezhou Zhu +2
This paper examines memory mechanisms in Large Language Models (LLMs), emphasizing their importance for context-rich responses, reduced hallucinations, and improved efficiency. It…