DyPAM (Dynamic Positional Attention Modulation) is proposed, a PEFT method that adapts how positional information contributes to attention by operating directly on the query and key representations, performing fine-grained adaptation of positional attention aligned with the RoPE-induced structure without modifying the...
Dayan Pan, Jing-Yuan Wang, Xie Yu· Proceedings of the 32nd ACM...· 0 citations
This work presents AgentCity, an AI-maintained framework for the continuous construction and evaluation of traffic prediction benchmarks and validate the reliability of AgentCity through benchmark validation studies on reproduction fidelity and consistency across different code-oriented agents.
Dayan Pan, Hongkang Su, Jing-Yuan Wang et al.· Proceedings of the 32nd ACM...· 0 citations
Traffic prediction is a fundamental component of intelligent transportation systems, and recent research has explored a wide range of prediction tasks and modeling approaches. While several benchmarking frameworks have been proposed to support fair and reproducible evaluation, most existing benchmarks rely on manual ma...
Dayan Pan, Hongkang Su, Jingyuan Wang et al.· Proceedings of the 32nd ACM...· 0 citations
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