الباحثون

Arash Akbari

المنشورات 2

نسخة أولية وصول مفتوح

BitNest: Bit-Nested Speculative Decoding for Memory-Efficient LLM Inference Acceleration

Chence Yang, Ningxi Cheng, Arash Akbari وآخرون · 2026

Speculative decoding accelerates autoregressive generation by using a lightweight draft to propose multiple tokens for parallel verification. However, existing methods often require an additional draft model or weight representation, introducing non-negligible memory overhead on resource-constrained devices. Self-specu …

نسخة أولية وصول مفتوح

Q-WAM: 4-Bit Quantization of World Action Models with Action-Subspace Protection

Arash Akbari, Arman Akbari, Jingwu Luo وآخرون · 2026

World Action Models (WAMs) jointly generate video and robot actions through iterative diffusion and perform strongly in robotic manipulation. However, their prohibitive compute and memory costs pose substantial deployment challenges. Post-training quantization (PTQ) can reduce these costs, but existing PTQ methods such …

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