[D] GPT-4 fails in algorithmic puzzles

**Abstract:** We introduce the novel task of multimodal puzzle solving, framed within the context of visual question-answering. We present a new dataset, AlgoPuzzleVQA designed to challenge and evaluate the capabilities of multimodal language models in solving algorithmic puzzles that necessitate both visual understanding, language understanding, and complex algorithmic reasoning. We create the puzzles to encompass a diverse array of mathematical and algorithmic topics such as boolean logic, combinatorics, graph theory, optimization, search, etc., aiming to evaluate the gap between visual …

abstract capabilities challenge context dataset gpt gpt-4 language language models language understanding machinelearning multimodal novel puzzle question reasoning understanding visual