Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis.
CoRR, 2024
Efficient Task Transfer for HLS DSE.
CoRR, 2024
Fast Inference of Removal-Based Node Influence.
Proceedings of the ACM on Web Conference 2024, 2024
Learning to Compare Hardware Designs for High-Level Synthesis.
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024
KoLA: Carefully Benchmarking World Knowledge of Large Language Models.
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Proceedings of the Twelfth International Conference on Learning Representations, 2024
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.
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CoRR, 2023
Rethinking the Setting of Semi-supervised Learning on Graphs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022