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Circuit Complexity Bounds for RoPE-based Transformer Architecture
In this work, we establish a tighter circuit complexity bound for Transformers with $\mathsf{RoPE}$ attention.
Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
Large Language Models (LLMs) have shown immense potential in enhancing various aspects of our daily lives, from conversational AI to search and AI assistants.
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