Scaling AI

Gestiona tus resúmenes periódicos de investigación

1 de junio de 2026

11 artículos

Enviado

LLMs Without Deep Neural Networks: New Architecture, Benefits and Case Study

Vincent Granville

MeMo: Towards Language Models with Associative Memory Mechanisms

Fabio Massimo Zanzotto, Elena Sofia Ruzzetti, Giancarlo A. Xompero, Leonardo Ranaldi, Davide Venditti, Federico Ranaldi, Cristina Giannone, Andrea Favalli, Raniero Romagnoli

Updating the standard neuron model in artificial neural networks

Raul Mohedano, Thomas Batard, Erik Velasco-Salido, Ramsses De Los Santos Mendoza, Jorge H. Martínez, Stacey Levine, Marcelo Bertalmío

Neuro-symbolic Syntactic Parsing: Shaping a Neural Network with the CYK Algorithm

Fabio Massimo Zanzotto, Federico Ranaldi, Giorgio Satta

Fuente: arxiv Lectura imprescindible

Hamiltonian-Inspired Attention Mechanism for Scalable RF Transmitter Fingerprinting

Chitraksh Singh, Monisha Dhanraj, Akram Sheriff

Fuente: arxiv Lectura imprescindible

ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization

Kanchan Keisham, Thenukan Pathmanathan, Thangarajah Akilan

Fuente: arxiv Lectura imprescindible

SAGE: A Novelty Gate for Efficient Memory Evolution in Agentic LLMs

Sijia Wang, Dhanajit Brahma, Ricardo Henao

Fuente: arxiv Lectura imprescindible

On Efficient Scaling of GNNs via IO-Aware Layers Implementations

Daria Fomina, Daniil Krasylnikov, Alexey Boykov, Andrey Dolgovyazov, Vyacheslav Zhdanovskiy, Fedor Velikonivtsev

Fuente: arxiv Lectura imprescindible

Unicorn: Scaling High-Dimensional Time Series Forecasting via Universal Correlation Modeling

Haochen Yuan, Yichen Song, Yunbo Wang, Xiaokang Yang

Fuente: arxiv Lectura imprescindible

Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation

Zhiyuan Yang, Jiahao Cheng, Vincent Quoc-Huy Trinh, Mahdi S. Hosseini

Fuente: arxiv Lectura imprescindible

SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning

Jian Yao, Xiongcai Luo, Ran Cheng, Kay Chen Tan

Fuente: arxiv Lectura imprescindible