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ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.

, , , , , , , , , and . WWW, page 3319-3330. ACM, (2024)

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Hopfield Neural Network Approach for Task Scheduling in a Grid Environment., , and . CSSE (4), page 811-814. IEEE Computer Society, (2008)978-0-7695-3336-0.CNN-PSO-KELM: A Deep Learning Intrusion Detection Model for Imbalanced IoT Data., , , , , , , and . MSN, page 382-389. IEEE, (2023)ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction., , , , , , , and . CoRR, (2023)ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction., , , , , , , , , and . CoRR, (2023)Research on Inferring ELECTRE-III's Parameters with Fuzzy Information and a Case on Naval Gun Weapon System Integration., , and . FSKD (1), page 412-418. IEEE Computer Society, (2007)Towards Efficient and Effective Unlearning of Large Language Models for Recommendation., , , , , , and . CoRR, (2024)Neural Statistics for Click-Through Rate Prediction., , , , , and . SIGIR, page 1849-1853. ACM, (2022)A Novel Ship Detection Method Based on Gradient and Integral Feature for Single-Polarization Synthetic Aperture Radar Imagery., , , , , , and . Sensors, 18 (2): 563 (2018)ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction., , , , , , , , , and . WWW, page 3319-3330. ACM, (2024)GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing., , , , , , , , and . KDD, page 2279-2289. ACM, (2023)