Julia Farganus

According to our database, Julia Farganus authored at least 5 papers in 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewing.

Krzysztof Zurawicki, Julia Farganus, Arkadiusz Gawel, Mateusz Bystronski, Tomasz Kajdanowicz

CoRR, May, 2026

Learning Representations from 3D Gaussian Splats.

Julia Farganus, Krzysztof Zurawicki, Arkadiusz Gawel, Weronika Jakubowska, Halina Kwasnicka

CoRR, May, 2026

FaceParts: Segmentation and Editing of Gaussian Splatting.

Tymoteusz Zapala, Julia Farganus, Dominik Galus, Mikolaj Czachorowski, Piotr Syga, Przemyslaw Spurek

CoRR, May, 2026

V4FinBench: Benchmarking Tabular Foundation Models, LLMs, and Standard Methods on Corporate Bankruptcy Prediction.

Marcin Kostrzewa, Sebastian K. Tomczak, Roman Furman, Anna Poberezhna, Michal Furgala, Julia Farganus, Oleksii Furman, Maciej Zieba

CoRR, May, 2026

XSPLAIN: XAI-enabling Splat-based Prototype Learning for Attribute-aware INterpretability.

Dominik Galus, Julia Farganus, Tymoteusz Zapala, Mikolaj Czachorowski, Piotr Borycki, Przemyslaw Spurek, Piotr Syga

CoRR, February, 2026