Abstract: In recent years, few-shot detection has become a popular research direction in the field of industrial defect detection, which aims to perform defect detection tasks accurately using a ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

We’ve celebrated an extraordinary breakthrough while largely postponing the harder question of whether the architecture we’re scaling can sustain the use cases promised.

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 ...

Abstract: In response to the rapid growth of global video traffic and the limitations of traditional wireless transmission systems, we propose a novel dual-stage vector quantization system, VQ-DeepVSC ...

[2025.09.25]: 🔥🔥🔥 We released a toolkit that tests the impact of numerical precision and enables deterministic LLM inference. This helps eliminate the training–inference mismatch in reinforcement ...

We present MELLE, a novel continuous-valued tokens based language modeling approach for text to speech synthesis (TTS). MELLE autoregressively generates continuous mel-spectrogram frames directly from ...

A resurgence of violence along the Thai-Cambodia border, including Thai airstrikes on targets in Cambodia on Monday, comes less than two months after the signing of a peace agreement between the ...