Cover Image

Advertiser Content Understanding via LLMs for Google Ads Safety

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wallace, Joseph, Dogra, Tushar, Qiao, Wei, Wang, Yuan
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Scaling Up LLM Reviews for Google Ads Content Moderation
by: Qiao, Wei, et al.
Published: (2024)

Machine-Readable Ads: Accessibility and Trust Patterns for AI Web Agents interacting with Online Advertisements
by: Nitu, Joel, et al.
Published: (2025)

NextAds: Towards Next-generation Personalized Video Advertising
by: Xu, Yiyan, et al.
Published: (2026)

Zero-Shot Image Moderation in Google Ads with LLM-Assisted Textual Descriptions and Cross-modal Co-embeddings
by: Luo, Enming, et al.
Published: (2024)

RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads
by: Wei, Penghui, et al.
Published: (2023)

Are AI Agents interacting with Online Ads?
by: Stöckl, Andreas, et al.
Published: (2025)

Ads Supply Personalization via Doubly Robust Learning
by: Shi, Wei, et al.
Published: (2024)

Ads Recommendation in a Collapsed and Entangled World
by: Pan, Junwei, et al.
Published: (2024)

IDProxy: Cold-Start CTR Prediction for Ads and Recommendation at Xiaohongshu with Multimodal LLMs
by: Zhang, Yubin, et al.
Published: (2026)

HCMRM: A High-Consistency Multimodal Relevance Model for Search Ads
by: Gan, Guobing, et al.
Published: (2025)

Detecting RAG Advertisements Across Advertising Styles
by: Heineking, Sebastian, et al.
Published: (2026)

Memento: Personalized RAG-Style Long-Retention Data Scaling for META Ads Recommendation
by: Chen, Xiaoyu, et al.
Published: (2026)

Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations
by: Luo, Liang, et al.
Published: (2025)

LLMDistill4Ads: Using Cross-Encoders to Distill from LLM Signals for Advertiser Keyphrase Recommendations at eBay
by: Dey, Soumik, et al.
Published: (2025)

Cold-Starting Podcast Ads and Promotions with Multi-Task Learning on Spotify
by: Verma, Shivam, et al.
Published: (2026)

Detecting Generated Native Ads in Conversational Search
by: Schmidt, Sebastian, et al.
Published: (2024)

Integrating Vision-Centric Text Understanding for Conversational Recommender Systems
by: Yuan, Wei, et al.
Published: (2026)

Middleman Bias in Advertising: Aligning Relevance of Keyphrase Recommendations with Search
by: Dey, Soumik, et al.
Published: (2025)

LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System
by: Li, Fengxin, et al.
Published: (2024)

Practice on Long Behavior Sequence Modeling in Tencent Advertising
by: Hu, Xian, et al.
Published: (2025)

Semantic Ads Retrieval at Walmart eCommerce with Language Models Progressively Trained on Multiple Knowledge Domains
by: Wang, Zhaodong, et al.
Published: (2025)

The Impact of AI Search on the Online Content Ecosystem: Evidence from Google and Reddit
by: Zhang, Peibo, et al.
Published: (2026)

Real-time Ad retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising
by: Liu, Tongtong, et al.
Published: (2025)

COFFEE: COdesign Framework for Feature Enriched Embeddings in Ads-Ranking Systems
by: Roychowdhury, Sohini, et al.
Published: (2026)

Unified Value Alignment for Generative Recommendation in Industrial Advertising
by: Zhang, Xinxun, et al.
Published: (2026)

EGA-V2: An End-to-end Generative Framework for Industrial Advertising
by: Zheng, Zuowu, et al.
Published: (2025)

EGA-V1: Unifying Online Advertising with End-to-End Learning
by: Qiu, Junyan, et al.
Published: (2025)

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation
by: Pan, Junwei, et al.
Published: (2026)

NGA: Non-autoregressive Generative Auction with Global Externalities for Advertising Systems
by: Zheng, Zuowu, et al.
Published: (2025)

Async Learned User Embeddings for Ads Delivery Optimization
by: Tang, Mingwei, et al.
Published: (2024)

SUMMA: A Multimodal Large Language Model for Advertisement Summarization
by: Jia, Weitao, et al.
Published: (2025)

Fine-Tuned LLM as a Complementary Predictor Improving Ads System
by: Yang, Hui, et al.
Published: (2026)

Proactive Detection and Calibration of Seasonal Advertisements with Multimodal Large Language Models
by: Eghbalzadeh, Hamid, et al.
Published: (2024)

GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
by: Zhang, Jun, et al.
Published: (2025)

Generative Recommendation for Large-Scale Advertising
by: Xue, Ben, et al.
Published: (2026)

Decoupled Entity Representation Learning for Pinterest Ads Ranking
by: Liu, Jie, et al.
Published: (2025)

RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems
by: Chen, Jin, et al.
Published: (2026)

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
by: Yang, Yang, et al.
Published: (2024)

FBAdtTracker: An Interactive Data Collection and Analysis Tool for Facebook Advertisements
by: Jeong, Ujun, et al.
Published: (2021)

Multi-Faceted Large Embedding Tables for Pinterest Ads Ranking
by: Su, Runze, et al.
Published: (2025)