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

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

13 October 2023

Jianghao Lin

Xinyi Dai

Ruiming Tang

Yong Yu

Weinan Zhang

Papers citing "ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction"

8 / 8 papers shown

Title
Scaled Supervision is an Implicit Lipschitz Regularizer Z. Ouyang Chunhui Zhang Yaning Jia Soroush Vosoughi BDL OffRL 69 0 0 19 Mar 2025
Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction Guoxiao Zhang Yi Wei Yadong Zhang Huajian Feng Qiang Liu 70 0 0 09 Dec 2024
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding Yunjia Xi Hangyu Wang Bo Chen Jianghao Lin Menghui Zhu W. Liu Ruiming Tang Zhewei Wei W. Zhang Yong Yu OffRL 78 4 0 11 Aug 2024
PTab: Using the Pre-trained Language Model for Modeling Tabular Data Guangyi Liu Jie-jin Yang Ledell Yu Wu LMTD 63 32 0 15 Sep 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks Xiao Liu Kaixuan Ji Yicheng Fu Weng Lam Tam Zhengxiao Du Zhilin Yang Jie Tang VLM 234 780 0 14 Oct 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers Boseop Kim Hyoungseok Kim Sang-Woo Lee Gichang Lee Donghyun Kwak ... Jaewook Kang Inho Kang Jung-Woo Ha W. Park Nako Sung VLM 229 121 0 10 Sep 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 275 3,784 0 18 Apr 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 243 340 0 01 Jan 2021