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cs.CL2026
G-MemLLM: Gated Latent Memory Augmentation for Long-Context Reasoning in Large Language Models
Xun Xu
Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language understanding, yet they remain constrained by the finite capacity of their context window…
cs.CL2024
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale
Wenzhen Zheng, Wenbo Pan, Xu Xu +3
In recent years, Large Language Models (LLMs) have made significant strides towards Artificial General Intelligence. However, training these models from scratch requires substantia…