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ClickPrompt: CTR Models are Strong Prompt Generators for Adapting
  Language Models to CTR Prediction
v1v2v3v4v5 (latest)

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

13 October 2023
Jianghao Lin
Bo Chen
Hangyu Wang
Yunjia Xi
Yanru Qu
Xinyi Dai
Kangning Zhang
Ruiming Tang
Yong Yu
Weinan Zhang
ArXiv (abs)PDFHTML

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

30 / 30 papers shown
Title
InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation
InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation
Yunjia Xi
Jianghao Lin
Menghui Zhu
Yongzhao Xiao
Zhuoying Ou
...
Weiwen Liu
Yasheng Wang
Ruiming Tang
Weinan Zhang
Yong Yu
98
1
0
21 May 2025
Field Matters: A lightweight LLM-enhanced Method for CTR Prediction
Field Matters: A lightweight LLM-enhanced Method for CTR Prediction
Yu Cui
Feng Liu
Jiawei Chen
Yudi Wu
Changwang Zhang
Jun Wang
Yuegang Sun
Xiaohu Yang
Can Wang
108
0
0
20 May 2025
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
GraphFM: Graph Factorization Machines for Feature Interaction Modeling
Shu Wu
Zekun Li
Yunyue Su
Zeyu Cui
Xiaoyu Zhang
Liang Wang
242
23
0
24 Feb 2025
Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction
Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction
Guoxiao Zhang
Yi Wei
Yadong Zhang
Huajian Feng
Qiang Liu
111
1
0
09 Dec 2024
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Yunjia Xi
Hangyu Wang
Bo Chen
Jianghao Lin
Menghui Zhu
Wen Liu
Ruiming Tang
Zhewei Wei
Weinan Zhang
Yong Yu
OffRL
144
4
0
11 Aug 2024
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential
  Behavior Comprehension in Recommendation
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
LRM
137
93
0
22 Aug 2023
Language Models are Realistic Tabular Data Generators
Language Models are Realistic Tabular Data Generators
V. Borisov
Kathrin Seßler
Tobias Leemann
Martin Pawelczyk
Gjergji Kasneci
LMTD
106
252
0
12 Oct 2022
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
PTab: Using the Pre-trained Language Model for Modeling Tabular Data
Guangyi Liu
Jie Yang
Ledell Yu Wu
LMTD
126
36
0
15 Sep 2022
A Graph-Enhanced Click Model for Web Search
A Graph-Enhanced Click Model for Web Search
Jianghao Lin
Weiwen Liu
Xinyi Dai
Weinan Zhang
Shuai Li
Ruiming Tang
Xiuqiang He
Jianye Hao
Yong Yu
75
36
0
17 Jun 2022
An F-shape Click Model for Information Retrieval on Multi-block Mobile
  Pages
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages
Lingyue Fu
Jianghao Lin
Weiwen Liu
Ruiming Tang
Weinan Zhang
Rui Zhang
Yong Yu
79
15
0
17 Jun 2022
Towards Universal Sequence Representation Learning for Recommender
  Systems
Towards Universal Sequence Representation Learning for Recommender Systems
Yupeng Hou
Shanlei Mu
Wayne Xin Zhao
Yaliang Li
Bolin Ding
Ji-Rong Wen
AI4TS
88
211
0
13 Jun 2022
Recommendation as Language Processing (RLP): A Unified Pretrain,
  Personalized Prompt & Predict Paradigm (P5)
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng
Shuchang Liu
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
VLMAI4TS
137
487
0
24 Mar 2022
A Survey on Model Compression and Acceleration for Pretrained Language
  Models
A Survey on Model Compression and Acceleration for Pretrained Language Models
Canwen Xu
Julian McAuley
88
60
0
15 Feb 2022
Deep Learning for Click-Through Rate Estimation
Deep Learning for Click-Through Rate Estimation
Weinan Zhang
Jiarui Qin
Wei Guo
Ruiming Tang
Xiuqiang He
3DVHAI
73
113
0
21 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
605
4,099
0
18 Apr 2021
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
Guanghui Qin
J. Eisner
65
549
0
14 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
252
4,305
0
01 Jan 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
337
353
0
01 Jan 2021
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
506
20,376
0
23 Oct 2019
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR
  Prediction
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction
Zekun Li
Zeyu Cui
Shu Wu
Xiaoyu Zhang
Liang Wang
GNN
72
221
0
12 Oct 2019
TinyBERT: Distilling BERT for Natural Language Understanding
TinyBERT: Distilling BERT for Natural Language Understanding
Xiaoqi Jiao
Yichun Yin
Lifeng Shang
Xin Jiang
Xiao Chen
Linlin Li
F. Wang
Qun Liu
VLM
113
1,872
0
23 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
700
24,572
0
26 Jul 2019
Feature Generation by Convolutional Neural Network for Click-Through
  Rate Prediction
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
Bin Liu
Ruiming Tang
Yingzhi Chen
Jinkai Yu
Huifeng Guo
Yuzhou Zhang
3DV
59
154
0
09 Apr 2019
AutoInt: Automatic Feature Interaction Learning via Self-Attentive
  Neural Networks
AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks
Weiping Song
Chence Shi
Zhiping Xiao
Zhijian Duan
Yewen Xu
Ming Zhang
Jian Tang
CML
92
860
0
29 Oct 2018
xDeepFM: Combining Explicit and Implicit Feature Interactions for
  Recommender Systems
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
Jianxun Lian
Xiaohuan Zhou
Fuzheng Zhang
Zhongxia Chen
Xing Xie
Guangzhong Sun
BDL
61
1,053
0
14 Mar 2018
Deep & Cross Network for Ad Click Predictions
Deep & Cross Network for Ad Click Predictions
Ruoxi Wang
Bin Fu
Gang Fu
Mingliang Wang
104
1,237
0
17 Aug 2017
Neural Factorization Machines for Sparse Predictive Analytics
Neural Factorization Machines for Sparse Predictive Analytics
Xiangnan He
Tat-Seng Chua
108
1,296
0
16 Aug 2017
Attentional Factorization Machines: Learning the Weight of Feature
  Interactions via Attention Networks
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao
Hao Ye
Xiangnan He
Hanwang Zhang
Leilei Gan
Tat-Seng Chua
102
920
0
15 Aug 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
124
2,659
0
13 Mar 2017
Product-based Neural Networks for User Response Prediction
Product-based Neural Networks for User Response Prediction
Yanru Qu
Han Cai
Kan Ren
Weinan Zhang
Yong Yu
Ying Wen
Jun Wang
92
718
0
01 Nov 2016
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