2 papers
cs.LG2025
Achieving binary weight and activation for LLMs using Post-Training Quantization
Siqing Song, Chuang Wang, Ruiqi Wang +2
Quantizing large language models (LLMs) to 1-bit precision significantly reduces computational costs, but existing quantization techniques suffer from noticeable performance degrad…
cs.HC2025
A Modular and Extensible Hardware Platform Prototype for Dynamic Data Physicalisation
Xuyao Zhang, Milan Ilić, Beat Signer
Dynamic data physicalisation is an emerging field of research, investigating the representation and exploration of data via multiple modalities, beyond traditional visual methods.…