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What is TransXSSM: Unified Positional Encoding Model about?

The document presents TransXSSM, a hybrid architecture that integrates Transformer and State Space Model (SSM) layers using a novel Unified Rotary Position Embedding (Unified RoPE) to address positional encoding incompatibilities. This approach enhances training and inference speeds by 42.3% and 29.5% respectively, while also improving accuracy by over 4% compared to traditional Transformer models on language modeling benchmarks. TransXSSM demonstrates effective long-context modeling capabilities, achieving

Author

minh đức

Language

EN