Towards An Efficient LLM Training Paradigm for CTR Prediction
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Allen, Cai, Renqin, He, Yun, Yu, Hanchao, Qian, Jing, Li, Rui, Wang, Qifan, Caverlee, James |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework
by: Han, Ruidong, et al.
Published: (2024)
by: Han, Ruidong, et al.
Published: (2024)
MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
Federated Conversational Recommender System
by: Lin, Allen, et al.
Published: (2025)
by: Lin, Allen, et al.
Published: (2025)
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
by: Liu, Chengkai, et al.
Published: (2024)
by: Liu, Chengkai, et al.
Published: (2024)
Explainable CTR Prediction via LLM Reasoning
by: Yu, Xiaohan, et al.
Published: (2024)
by: Yu, Xiaohan, et al.
Published: (2024)
TF4CTR: Twin Focus Framework for CTR Prediction via Adaptive Sample Differentiation
by: Li, Honghao, et al.
Published: (2024)
by: Li, Honghao, et al.
Published: (2024)
DUET: Dual Model Co-Training for Entire Space CTR Prediction
by: Xiao, Yutian, et al.
Published: (2025)
by: Xiao, Yutian, et al.
Published: (2025)
From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
by: Yin, Mingjia, et al.
Published: (2025)
by: Yin, Mingjia, et al.
Published: (2025)
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction
by: Song, Xin, et al.
Published: (2025)
by: Song, Xin, et al.
Published: (2025)
Feature Interaction Fusion Self-Distillation Network For CTR Prediction
by: Sang, Lei, et al.
Published: (2024)
by: Sang, Lei, et al.
Published: (2024)
Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation
by: Liu, Chengkai, et al.
Published: (2024)
by: Liu, Chengkai, et al.
Published: (2024)
Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction
by: Cui, Yu, et al.
Published: (2025)
by: Cui, Yu, et al.
Published: (2025)
CELA: Cost-Efficient Language Model Alignment for CTR Prediction
by: Wang, Xingmei, et al.
Published: (2024)
by: Wang, Xingmei, et al.
Published: (2024)
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
by: Lin, Jianghao, et al.
Published: (2023)
by: Lin, Jianghao, et al.
Published: (2023)
Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction
by: Zhao, Yao, et al.
Published: (2024)
by: Zhao, Yao, et al.
Published: (2024)
A Universal Framework for Compressing Embeddings in CTR Prediction
by: Wang, Kefan, et al.
Published: (2025)
by: Wang, Kefan, et al.
Published: (2025)
Enhancing CTR Prediction with De-correlated Expert Networks
by: Wang, Jiancheng, et al.
Published: (2025)
by: Wang, Jiancheng, et al.
Published: (2025)
Verifiable Reasoning for LLM-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2026)
by: Lin, Xinyu, et al.
Published: (2026)
Countering Mainstream Bias via End-to-End Adaptive Local Learning
by: Pan, Jinhao, et al.
Published: (2024)
by: Pan, Jinhao, et al.
Published: (2024)
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction
by: Wu, Song-Li, et al.
Published: (2023)
by: Wu, Song-Li, et al.
Published: (2023)
TwinCL: A Twin Graph Contrastive Learning Model for Collaborative Filtering
by: Liu, Chengkai, et al.
Published: (2024)
by: Liu, Chengkai, et al.
Published: (2024)
MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction
by: Xiao, Yutian, et al.
Published: (2025)
by: Xiao, Yutian, et al.
Published: (2025)
Adversarial Alignment and Disentanglement for Cross-Domain CTR Prediction with Domain-Encompassing Features
by: He, Junyou, et al.
Published: (2026)
by: He, Junyou, et al.
Published: (2026)
CETN: Contrast-enhanced Through Network for CTR Prediction
by: Li, Honghao, et al.
Published: (2023)
by: Li, Honghao, et al.
Published: (2023)
Feature Staleness Aware Incremental Learning for CTR Prediction
by: Wang, Zhikai, et al.
Published: (2025)
by: Wang, Zhikai, et al.
Published: (2025)
ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning
by: Bismay, Millennium, et al.
Published: (2024)
by: Bismay, Millennium, et al.
Published: (2024)
A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction
by: Wang, Fangye, et al.
Published: (2023)
by: Wang, Fangye, et al.
Published: (2023)
Discrete Semantic Tokenization for Deep CTR Prediction
by: Liu, Qijiong, et al.
Published: (2024)
by: Liu, Qijiong, et al.
Published: (2024)
From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction
by: Yan, Bencheng, et al.
Published: (2025)
by: Yan, Bencheng, et al.
Published: (2025)
MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction
by: Yang, Zhiming, et al.
Published: (2024)
by: Yang, Zhiming, et al.
Published: (2024)
FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction
by: Zhang, Jun, et al.
Published: (2026)
by: Zhang, Jun, et al.
Published: (2026)
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors
by: Geng, Binzong, et al.
Published: (2024)
by: Geng, Binzong, et al.
Published: (2024)
HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction
by: Huang, Yunwen, et al.
Published: (2026)
by: Huang, Yunwen, et al.
Published: (2026)
Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction
by: Zhang, Moyu, et al.
Published: (2025)
by: Zhang, Moyu, et al.
Published: (2025)
Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
by: Lai, Weijiang, et al.
Published: (2025)
by: Lai, Weijiang, et al.
Published: (2025)
RIA: A Ranking-Infused Approach for Optimized listwise CTR Prediction
by: Zhang, Guoxiao, et al.
Published: (2025)
by: Zhang, Guoxiao, et al.
Published: (2025)
DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction
by: Wang, Kefan, et al.
Published: (2025)
by: Wang, Kefan, et al.
Published: (2025)
CTR-Guided Generative Query Suggestion in Conversational Search
by: Min, Erxue, et al.
Published: (2025)
by: Min, Erxue, et al.
Published: (2025)
Unleashing the Potential of Sparse Attention on Long-term Behaviors for CTR Prediction
by: Lai, Weijiang, et al.
Published: (2026)
by: Lai, Weijiang, et al.
Published: (2026)
Similar Items
-
DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion
by: Zhang, Moyu, et al.
Published: (2025) -
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework
by: Han, Ruidong, et al.
Published: (2024) -
MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths
by: Zhang, Moyu, et al.
Published: (2025) -
Federated Conversational Recommender System
by: Lin, Allen, et al.
Published: (2025) -
Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
by: Liu, Chengkai, et al.
Published: (2024)