Oct 13, 2023 · We propose a novel model-agnostic framework (ie, ClickPrompt), where we incorporate CTR models to generate interaction-aware soft prompts for PLMs.
May 13, 2024 · We propose a novel model-agnostic framework (ie, ClickPrompt), where we incorporate CTR models to generate interaction-aware soft prompts for PLMs.
May 22, 2024 · This paper presents ClickPrompt, which incorporates click-through-rate (CTR) models to generate soft prompts for pre-trained language models (PLMs).
We propose a novel model-agnostic framework (ie, ClickPrompt), where we incorporate CTR models to generate interaction-aware soft prompts for PLMs.
Duration: 11:53
Posted: Jul 23, 2024
Posted: Jul 23, 2024
May 15, 2024 · However, these works either: (1) directly apply existing general CTR prediction models without effectively capturing the relative numerical ...
Duration: 2:54
Posted: Mar 22, 2024
Posted: Mar 22, 2024
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ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. J. Lin, B. Chen, H. Wang, Y. Xi, Y. Qu, X. Dai, ...
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction ... Traditional CTR models convert the multi-field categorical ...
In this paper, we propose to conduct Fine-grained feature-level ALignment between ID-based Models and Pretrained Language Models (FLIP) for CTR prediction.