1 citations · 1 across the 11 of their papers we have counts for
13 papers
GAW-PO: Preference Optimization with Gradient-Aligned Token Weights
Andreea Dutulescu, Stefan Ruseti, Mihai Masala +2
Most preference optimization methods, such as Direct Preference Optimization (DPO), apply preference supervision at the response level, although autoregressive language models are…
The GEST-Engine: From Event Graphs to Synthetic Video. A Full Technical Report
Nicolae Cudlenco, Mihai Masala, Marius Leordeanu
We present the GEST-Engine, a complete system that goes from natural-language text to fully-annotated multi-actor video. At its core is an explicit world model: rather than encodin…
"Înţelegi Româneşte?'' A Recipe for Romanian Vision-Language Models
Mihai Masala, Marius Leordeanu, Mihai Dascalu +1
Vision-Language Models (VLMs) largely follow the text-only LLM trajectory, excelling on English benchmarks but sharply degrading on low-resource languages, where neither large-scal…
GTASA: Ground Truth Annotations for Spatiotemporal Analysis, Evaluation and Training of Video Models
Nicolae Cudlenco, Mihai Masala, Marius Leordeanu
Game engines hold what video models struggle to learn: a complete, explicit world state behind every frame. We turn one into a data instrument. GEST-Engine, our production-grade op…
Authoring for Living Worlds: Tool-Constrained LLM Agents for Executable Multi-Actor Scenarios
Nicolae Cudlenco, Mihai Masala, Marius Leordeanu
Authoring a multi-actor scenario for a living 3D world, where every action changes its state, and each action's validity depends on the state accumulated before it, demands the fre…
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…
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…
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…
"Vorbeşti Româneşte?" A Recipe to Train Powerful Romanian LLMs with English Instructions
Mihai Masala, Denis C. Ilie-Ablachim, Alexandru Dima +10
In recent years, Large Language Models (LLMs) have achieved almost human-like performance on various tasks. While some LLMs have been trained on multilingual data, most of the trai…
OpenLLM-Ro -- Technical Report on Open-source Romanian LLMs
Mihai Masala, Denis C. Ilie-Ablachim, Dragos Corlatescu +6
In recent years, Large Language Models (LLMs) have achieved almost human-like performance on various tasks. While some LLMs have been trained on multilingual data, most of the trai…
Improving Legal Judgement Prediction in Romanian with Long Text Encoders
Mihai Masala, Traian Rebedea, Horia Velicu
In recent years,the entire field of Natural Language Processing (NLP) has enjoyed amazing novel results achieving almost human-like performance on a variety of tasks. Legal NLP dom…
Explaining Vision and Language through Graphs of Events in Space and Time
Mihai Masala, Nicolae Cudlenco, Traian Rebedea +1
Artificial Intelligence makes great advances today and starts to bridge the gap between vision and language. However, we are still far from understanding, explaining and controllin…
GEST: the Graph of Events in Space and Time as a Common Representation between Vision and Language
Mihai Masala, Nicolae Cudlenco, Traian Rebedea +1
One of the essential human skills is the ability to seamlessly build an inner representation of the world. By exploiting this representation, humans are capable of easily finding c…