Prompt-augmented Temporal Point Process for Streaming Event Sequence Siqiao Xue, Y an Wang

Neural Information Processing Systems 

In real-world applications, event data is typically received in a streaming manner, where the distribution of patterns may shift over time. Additionally, privacy and memory constraints are commonly observed in practical scenarios, further compounding the challenges.

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