ErrorRadar is a new benchmark of 2,500 multimodal K-12 math problems for MLLM error step identification and categorization, where GPT-4o trails human experts by ~10%.
How to bridge the gap between modalities: A comprehensive survey on multimodal large language model
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Authors build a synthetic data generator and two-stage training pipeline for structured abstractive reasoning on multi-modal relational knowledge images, releasing STAR-64K and showing 3B/7B models outperforming GPT-4o.
A systematic review of memory designs, evaluation methods, applications, limitations, and future directions for LLM-based agents.
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ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection
ErrorRadar is a new benchmark of 2,500 multimodal K-12 math problems for MLLM error step identification and categorization, where GPT-4o trails human experts by ~10%.
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Structured and Abstractive Reasoning on Multi-modal Relational Knowledge Images
Authors build a synthetic data generator and two-stage training pipeline for structured abstractive reasoning on multi-modal relational knowledge images, releasing STAR-64K and showing 3B/7B models outperforming GPT-4o.
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A Survey on the Memory Mechanism of Large Language Model based Agents
A systematic review of memory designs, evaluation methods, applications, limitations, and future directions for LLM-based agents.