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cs.LG2024
Circuit Complexity Bounds for RoPE-based Transformer Architecture
Bo Chen, Xiaoyu Li, Yingyu Liang +3
Characterizing the express power of the Transformer architecture is critical to understanding its capacity limits and scaling law. Recent works provide the circuit complexity bound…
cs.LG2024★ 2 cited
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
Bo Chen, Xiaoyu Li, Yingyu Liang +2
In-context learning has been recognized as a key factor in the success of Large Language Models (LLMs). It refers to the model's ability to learn patterns on the fly from provided…
cs.LG2024★ 2 cited
HSR-Enhanced Sparse Attention Acceleration
Bo Chen, Yingyu Liang, Zhizhou Sha +2
Large Language Models (LLMs) have demonstrated remarkable capabilities across various applications, but their performance on long-context tasks is often limited by the computationa…