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Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning Runqian W ang
Neural Information Processing Systems
Such re-training requires access to the data used to train the LoRA for the original base model.
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TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
Neural Information Processing Systems
This lack of rich textual edge annotations significantly limits the exploration of contextual relationships between entities, hindering deeper insights into graph-structured data.
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