5 papers
PRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewing
Krzysztof Żurawicki, Julia Farganus, Arkadiusz GaweŠ+2
The growing number of submitted papers has motivated the exploration of Large Language Models (LLMs) as a means to support and augment the peer review process, particularly in term…
Learning Representations from 3D Gaussian Splats
Julia Farganus, Krzysztof Żurawicki, Arkadiusz GaweŠ+2
3D Gaussian Splatting (3DGS) is a recent approach for scene rendering. Although primarily designed for view synthesis, its potential for scene understanding tasks remains underexpl…
V4FinBench: Benchmarking Tabular Foundation Models, LLMs, and Standard Methods on Corporate Bankruptcy Prediction
Marcin Kostrzewa, Sebastian Tomczak, Roman Furman +5
Corporate bankruptcy prediction is a high-stakes financial task characterized by severe class imbalance and multi-horizon forecasting demands. Public datasets supporting it remain…
FaceParts: Segmentation and Editing of Gaussian Splatting
Tymoteusz ZapaÅa, Julia Farganus, Dominik Galus +3
Facial editing is an important task with applications in entertainment, virtual reality, and digital avatars. Most existing approaches rely on generative models in the 2D image dom…
XSPLAIN: XAI-enabling Splat-based Prototype Learning for Attribute-aware INterpretability
Dominik Galus, Julia Farganus, Tymoteusz Zapala +4
3D Gaussian Splatting (3DGS) has rapidly become a standard for high-fidelity 3D reconstruction, yet its adoption in multiple critical domains is hindered by the lack of interpretab…