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Meta-in-context learning in large language models Julian Coda-Forno
Neural Information Processing Systems
Large language models have shown tremendous performance in a variety of tasks.
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CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
Neural Information Processing Systems
In this paper, we introduce the new Aero-Eye dataset that focuses on multi-object relationship modeling in aerial videos.
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Low Precision Local Training is Enough for Federated Learning
Neural Information Processing Systems
This urges the development of more computation and communication efficient optimization algorithms.
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