الباحثون

Spandan Pyakurel

المنشورات 1

نسخة أولية وصول مفتوح

XOR-Trellis: Ultra-Low-Complexity Dequantization and Curvature-Aware Hadamard-Free LLM Quantization

Xiaofan Que, Nir Elkayam, Spandan Pyakurel وآخرون · 2026

Trellis-coded quantization enables high-dimensional compression of large language model (LLM) weights at ultra-low bit widths without the exponentially large codebooks required by conventional vector quantization. Practical deployment, however, presents two challenges: reconstructing compressed weights at sufficient pa …

المؤلفون المشاركون