ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal
Large Language Models Via Error Detection
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal
Large Language Models Via Error Detection
As the field of Multimodal Large Language Models (MLLMs) continues to evolve, their potential to revolutionize artificial intelligence is particularly promising, especially in addressing mathematical reasoning tasks. Current mathematical benchmarks predominantly focus on evaluating MLLMs' problem-solving ability, yet there is a crucial gap in addressing more complex scenarios such as …