Author

Arash Akbari

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Preprint Sep 2026

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

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...

Arash Akbari, Arman Akbari, Jing Luo et al. · 0 citations

#artificial intelligence Preprint Oct 2026

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

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...

Chen-Ce Yang, Ning-Xi Cheng, Arash Akbari et al. · 0 citations