Large Language Model
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Statistical Knowledge Assessment for Large Language Models
Neural Information Processing Systems
In this paper, we study the problem of quantifying knowledge contained in an LLM regarding a given set of facts.
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Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models Gen Luo
Neural Information Processing Systems
Instead of using large neural networks to connect the image encoder and LLM, MMA adopts lightweight modules, i.e., adapters, to bridge the gap between LLMs and VL tasks, which also enables the joint optimization of the image and language
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