Scaling AI - Research Digest

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

Vincent Granville

Source: arxiv

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

Source: arxiv

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

Source: arxiv

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

Fabio Massimo Zanzotto, Federico Ranaldi, Giorgio Satta

Source: arxiv Must Read

Hamiltonian-Inspired Attention Mechanism for Scalable RF Transmitter Fingerprinting

Chitraksh Singh, Monisha Dhanraj, Akram Sheriff

Source: arxiv Must Read

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

Kanchan Keisham, Thenukan Pathmanathan, Thangarajah Akilan

Source: arxiv Must Read

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

Sijia Wang, Dhanajit Brahma, Ricardo Henao

Source: arxiv Must Read

On Efficient Scaling of GNNs via IO-Aware Layers Implementations

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

Source: arxiv Must Read

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

Haochen Yuan, Yichen Song, Yunbo Wang, Xiaokang Yang

Source: arxiv Must Read

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

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

Source: arxiv Must Read

SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning

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

Source: arxiv Must Read