
Introducing the Chain-of-Action framework to enhance question answering by addressing unfaithful hallucination and weak reasoning in complex tasks.


coremsg

enhancing-question-answering-with-chain-of-action-framework


Enhancing Question Answering with Chain-of-Action Framework


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Current state-of-the-art large foundation models exhibit varying strengths and weaknesses in multimodal reasoning capabilities, with no single model outperforming others across all tasks. Detailed evaluation reveals opportunities for improvement in areas like geometric reasoning, benefiting from multimodal input, and grounding information retrieval.


evaluating-and-benchmarking-the-multimodal-reasoning-capabilities-of-large-foundation-models


Evaluating and Benchmarking the Multimodal Reasoning Capabilities of Large Foundation Models
