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cs.CL2026
LoRA-Drop: Temporal LoRA Decoding for Efficient LLM Inference
Hossein Rajabzadeh, Maryam Dialameh, Chul B. Park +2
Autoregressive large language models (LLMs) are bottlenecked by sequential decoding, where each new token typically requires executing all transformer layers. Existing dynamic-dept…
cs.CL2026
FLOP-Efficient Training: Early Stopping Based on Test-Time Compute Awareness
Hossam Amer, Maryam Dialameh, Hossein Rajabzadeh +3
Scaling training compute, measured in FLOPs, has long been shown to improve the accuracy of large language models, yet training remains resource-intensive. Prior work shows that in…