Cover Image

Knowledge-informed Bidding with Dual-process Control for Online Advertising

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Huixiang, Gao, Longyu, Liu, Yaqi, Chen, Qianqian, Huang, Pingchun, Li, Tianning
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens
by: Ji, Jiahao, et al.
Published: (2025)

AHBid: An Adaptable Hierarchical Bidding Framework for Cross-Channel Advertising
by: Yang, Xinxin, et al.
Published: (2026)

Efficiency of Proportional Mechanisms in Online Auto-Bidding Advertising
by: Thang, Nguyen Kim
Published: (2026)

Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape
by: Oldenburg, Fynn, et al.
Published: (2023)

MEBS: Multi-task End-to-end Bid Shading for Multi-slot Display Advertising
by: Gong, Zhen, et al.
Published: (2024)

ACQ: A Unified Framework for Automated Programmatic Creativity in Online Advertising
by: Wang, Ruizhi, et al.
Published: (2024)

Scaling Laws for Online Advertisement Retrieval
by: Wang, Yunli, et al.
Published: (2024)

Online Advertisements with LLMs: Opportunities and Challenges
by: Feizi, Soheil, et al.
Published: (2023)

Safe Online Bid Optimization with Return on Investment and Budget Constraints
by: Castiglioni, Matteo, et al.
Published: (2022)

MA-CoNav: A Master-Slave Multi-Agent Framework with Hierarchical Collaboration and Dual-Level Reflection for Long-Horizon Embodied VLN
by: Luo, Ling, et al.
Published: (2026)

Generative Auto-Bidding with Unified Modeling and Exploration
by: Zhang, Mingming, et al.
Published: (2026)

RELATE: A Reinforcement Learning-Enhanced LLM Framework for Advertising Text Generation
by: Wang, Jinfang, et al.
Published: (2026)

Prompt-Matcher: Leveraging Large Models to Reduce Uncertainty in Schema Matching Results
by: Feng, Longyu, et al.
Published: (2024)

On the Role of Language Representations in Auto-Bidding: Findings and Implications
by: Zhu, Guanyu, et al.
Published: (2026)

MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising
by: Dai, Quanyu, et al.
Published: (2025)

Passive Underwater Acoustic Signal Separation based on Feature Decoupling Dual-path Network
by: Liu, Yucheng, et al.
Published: (2025)

Truthful Aggregation of LLMs with an Application to Online Advertising
by: Soumalias, Ermis, et al.
Published: (2024)

Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation
by: Zhong, Yu, et al.
Published: (2025)

Reach Measurement, Optimization and Frequency Capping In Targeted Online Advertising Under k-Anonymity
by: Gao, Yuan, et al.
Published: (2025)

Personalized Treatment Outcome Prediction from Scarce Data via Dual-Channel Knowledge Distillation and Adaptive Fusion
by: Chen, Wenjie, et al.
Published: (2025)

RTBAgent: A LLM-based Agent System for Real-Time Bidding
by: Cai, Leng, et al.
Published: (2025)

Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting
by: Feng, Longyu, et al.
Published: (2024)

Learning Concave Bid Shading Strategies in Online Auctions via Measure-valued Proximal Optimization
by: Nodozi, Iman, et al.
Published: (2025)

TriagerX: Dual Transformers for Bug Triaging Tasks with Content and Interaction Based Rankings
by: Mamun, Md Afif Al, et al.
Published: (2025)

Guiding the Recommender: Information-Aware Auto-Bidding for Content Promotion
by: Liu, Yumou, et al.
Published: (2026)

Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory
by: Yang, Mutian, et al.
Published: (2025)

Efficient Personalized Reranking with Semi-Autoregressive Generation and Online Knowledge Distillation
by: Cheng, Kai, et al.
Published: (2026)

Bid Farewell to Seesaw: Towards Accurate Long-tail Session-based Recommendation via Dual Constraints of Hybrid Intents
by: Wang, Xiao, et al.
Published: (2025)

DualOptim: Enhancing Efficacy and Stability in Machine Unlearning with Dual Optimizers
by: Zhong, Xuyang, et al.
Published: (2025)

Hierarchical Multi-agent Meta-Reinforcement Learning for Cross-channel Bidding
by: He, Shenghong, et al.
Published: (2024)

Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team
by: Yu, Weilun, et al.
Published: (2025)

Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertising
by: Feng, Haoyang, et al.
Published: (2025)

PoAct: Policy and Action Dual-Control Agent for Generalized Applications
by: Yuan, Guozhi, et al.
Published: (2025)

RefAdGen: High-Fidelity Advertising Image Generation
by: Chen, Yiyun, et al.
Published: (2025)

LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting
by: Li, Yewen, et al.
Published: (2026)

LLM Advertisement based on Neuron Auctions
by: Yun, Peiran, et al.
Published: (2026)

Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
by: Liu, Xuyuan, et al.
Published: (2025)

A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
by: Wang, Tangtang, et al.
Published: (2025)

Cattle Trade: A Multi-Agent Benchmark for LLM Bluffing, Bidding, and Bargaining
by: Müller, Robert, et al.
Published: (2026)

Optimization Techniques for Sentiment Analysis Based on LLM (GPT-3)
by: Zhan, Tong, et al.
Published: (2024)