2025
FiRST: Finetuning Router-Selective Transformers for Input-Adaptive Latency Reduction
EMNLP 2025
Auto-regressive Large Language Models (LLMs) demonstrate remarkable performance across different domains such as vision and language tasks. However, due to sequential processing through multiple transformer layers, autoregressive decoding faces significant computational challenges, particularly in r