9 citations · 9 across the 2 of their papers we have counts for
4 papers
Concept-Grounded Attention: A Controlled Evaluation of Graph-Injected Attention, Temporal Versioning, and Epistemic Status
Sachin Dev Duggal, Pradyumna Swarnalatha Ramanna, Alexandros Vassiliades
Knowledge-intensive language-model systems typically represent external knowledge as text chunks or static graphs, with limited support for concept evolution, point-in-time reasoni…
Atomic Units of X: The Compression Layer of Intelligence
Sachin Dev Duggal, Pradyumna Swarnalatha Ramanna, Alexandros Vassiliades
This paper proposes a theoretical and empirical framework for understanding intelligence as a process of atomic compression and compositional reuse. It argues that scalable cogniti…
Utilizing Large Language Models for Machine Learning Explainability
Alexandros Vassiliades, Nikolaos Polatidis, Stamatios Samaras +5
This study explores the explainability capabilities of large language models (LLMs), when employed to autonomously generate machine learning (ML) solutions. We examine two classifi…
A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos +3
Object perception is a fundamental sub-field of Computer Vision, covering a multitude of individual areas and having contributed high-impact results. While Machine Learning has bee…