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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…