8 papers
DD-suite: A cross-platform package to build Decision Diagrams for optimization purposes
Antonia F. Blanco, Margarita Castro, Rodrigo Toro Icarte
Decision diagrams (DDs) have become a powerful tool for discrete optimization, supporting a wide range of algorithms that span cut-generation procedures, decomposition methods, and…
Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity
Cristian Hinostroza, Rodrigo Toro Icarte, Christ Devia +4
Large language models (LLMs) have revolutionized natural language processing. Understanding their internal mechanisms is crucial for developing more interpretable and optimized arc…
Seeing to Generalize: How Visual Data Corrects Binding Shortcuts
Nicolas Buzeta, Felipe del Rio, Cristian Hinostroza +3
Vision Language Models (VLMs) are designed to extend Large Language Models (LLMs) with visual capabilities, yet in this work we observe a surprising phenomenon: VLMs can outperform…
Extending NGU to Multi-Agent RL: A Preliminary Study
Juan Hernandez, Diego Fernández, Manuel Cifuentes +2
The Never Give Up (NGU) algorithm has proven effective in reinforcement learning tasks with sparse rewards by combining episodic novelty and intrinsic motivation. In this work, we…
Active Learning of Symbolic Automata Over Rational Numbers
Sebastian Hagedorn, MartÃn Muñoz, Cristian Riveros +1
Automata learning has many applications in artificial intelligence and software engineering. Central to these applications is the algorithm, introduced by Angluin. The …
Data Distributional Properties As Inductive Bias for Systematic Generalization
Felipe del Rio, Alain Raymond-Saez, Daniel Florea +4
Deep neural networks (DNNs) struggle at systematic generalization (SG). Several studies have evaluated the possibility to promote SG through the proposal of novel architectures, lo…