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cs.CL2025
Improving Romanian LLM Pretraining Data using Diversity and Quality Filtering
Vlad Negoita, Mihai Masala, Traian Rebedea
Large Language Models (LLMs) have recently exploded in popularity, often matching or outperforming human abilities on many tasks. One of the key factors in training LLMs is the ava…
cs.CV2025
From Vision To Language through Graph of Events in Space and Time: An Explainable Self-supervised Approach
Mihai Masala, Marius Leordeanu
The task of describing video content in natural language is commonly referred to as video captioning. Unlike conventional video captions, which are typically brief and widely avail…
cs.CV2025
Towards Zero-Shot & Explainable Video Description by Reasoning over Graphs of Events in Space and Time
Mihai Masala, Marius Leordeanu
In the current era of Machine Learning, Transformers have become the de facto approach across a variety of domains, such as computer vision and natural language processing. Transfo…