collaborators

5 papers

cs.AI2024

Reasoning Limitations of Multimodal Large Language Models. A Case Study of Bongard Problems

Mikołaj Małkiński, Szymon Pawlonka, Jacek Mańdziuk

Abstract visual reasoning (AVR) involves discovering shared concepts across images through analogy, akin to solving IQ test problems. Bongard Problems (BPs) remain a key challenge…

cs.AI2024

A Unified View of Abstract Visual Reasoning Problems

Mikołaj Małkiński, Jacek Mańdziuk

The field of Abstract Visual Reasoning (AVR) encompasses a wide range of problems, many of which are inspired by human IQ tests. The variety of AVR tasks has resulted in state-of-t…

cs.AI2024

A-I-RAVEN and I-RAVEN-Mesh: Two New Benchmarks for Abstract Visual Reasoning

Mikołaj Małkiński, Jacek Mańdziuk

We study generalization and knowledge reuse capabilities of deep neural networks in the domain of abstract visual reasoning (AVR), employing Raven's Progressive Matrices (RPMs), a…

cs.LG2024

ReModels: Quantile Regression Averaging models

Grzegorz Zakrzewski, Kacper Skonieczka, Mikołaj Małkiński +1

Electricity price forecasts play a crucial role in making key business decisions within the electricity markets. A focal point in this domain are probabilistic predictions, which d…

cs.AI2023

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems

Mikołaj Małkiński, Jacek Mańdziuk

Abstract Visual Reasoning (AVR) comprises a wide selection of various problems similar to those used in human IQ tests. Recent years have brought dynamic progress in solving partic…