Marin Šilić

Integrating External Knowledge with LLMs: A Systematic Review of RAG Approaches

2025

Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation, exhibiting exceptional in-context learning abilities without requiring extensive fine-tuning. However, these models often suffer from significant limitations, including hallucinations where fabricated …

KNARsack: Teaching Neural Algorithmic Reasoners to Solve Pseudo-Polynomial Problems

2025 · arXiv (Cornell University)

Neural algorithmic reasoning (NAR) is a growing field that aims to embed algorithmic logic into neural networks by imitating classical algorithms. In this extended abstract, we detail our attempt to build a neural algorithmic reasoner …