Author

Jiebin Zhang

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#artificial intelligence Preprint Oct 2026

E8-QAT: Efficient 2-Bit Quantization-Aware Training with Implicit Lattice Codebooks

Low-bit quantization reduces the memory footprint of large language models, but preserving accuracy with efficient training remains challenging. Scalar quantization encodes weights independently, while explicit-codebook vector quantization introduces costly search during training. We propose E8-QAT, a 2-bit quantizatio...

Xin-Yu Lei, Hong Huang, Jie-Bin Zhang et al. · 0 citations

Jul 2026

AngelSpec: Towards Real-World High Performance Inference with Speculative Decoding

DFly is proposed, a block-diffusion framework combining a hybrid target-conditioning backbone with a predecessor-conditioned autoregressive head, improving target-feature utilization and intra-block dependency modeling while keeping generation parallel, and DFly treats verification as a shared batch-level resource.

Hong Liu, Rui Cen, Jun-Han Shi et al. · arXiv.org · 2 citations