K2K framework enables internal memory retrieval in LLMs for healthcare outcome prediction, achieving state-of-the-art results on four benchmarks.
Mingchen Li, Chen Ling, Rui Zhang, and Liang Zhao
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Position paper claims multimodal LLMs can significantly advance scientific reasoning and proposes a four-stage roadmap plus challenges and suggestions.
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Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction
K2K framework enables internal memory retrieval in LLMs for healthcare outcome prediction, achieving state-of-the-art results on four benchmarks.
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Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning
Position paper claims multimodal LLMs can significantly advance scientific reasoning and proposes a four-stage roadmap plus challenges and suggestions.