3 papers
cs.LG2025
TinyGraphEstimator: Adapting Lightweight Language Models for Graph Structure Inference
Michal Podstawski
Graphs provide a universal framework for representing complex relational systems, and inferring their structural properties is a core challenge in graph analysis and reasoning. Whi…
cs.CL2025
Applying Text Embedding Models for Efficient Analysis in Labeled Property Graphs
Michal Podstawski
Labeled property graphs often contain rich textual attributes that can enhance analytical tasks when properly leveraged. This work explores the use of pretrained text embedding mod…
cs.CV2025
Face Consistency Benchmark for GenAI Video
Michal Podstawski, Malgorzata Kudelska, Haohong Wang
Video generation driven by artificial intelligence has advanced significantly, enabling the creation of dynamic and realistic content. However, maintaining character consistency ac…