Adapter-based optical compression for long documents using DeepSeek's DeepEncoder with Qwen3-VL-2B. Built on DeepSeek-OCR by DeepSeek-AI. This repo includes deepencoder.py from DeepSeek-OCR ...

Abstract: This article introduces a low-power spintronic rotary encoder capable of 8-bit analog-to-digital conversion. The proposed encoder leverages spin-Hall effect-driven domain wall motion ...

Abstract: A balanced three-value 3-1 encoder for terahertz (THz) metamaterials (MMS) based on graphene plasma-induced transparency (PIT) and phase change material (PCM), for the first time, was ...

Perception Encoder, PE, is the core vision stack in Meta’s Perception Models project. It is a family of encoders for images, video, and audio that reaches state of the art on many vision and audio ...

T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...