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Tencent Advertising Technology

Official hub of Tencent Advertising Technology, sharing the team's latest cutting-edge achievements and advertising technology applications.

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Tencent Advertising Technology
Tencent Advertising Technology
Jul 17, 2026 · Artificial Intelligence

AdPilot: Fully Autonomous Advertising Delivery via Agentic Reinforcement Learning (KDD 2026)

AdPilot, the first end‑to‑end autonomous advertising agent, reformulates ad delivery as a Markov decision process and combines structured memory, LLM‑enhanced reasoning, and a GRPO‑based reinforcement‑learning engine, while the newly released AdBench benchmark evaluates its superior performance across 38 scenarios and 7,600 instances, outperforming strong baselines by up to 11.76%.

AdBenchAdPilotKDD 2026
0 likes · 16 min read
AdPilot: Fully Autonomous Advertising Delivery via Agentic Reinforcement Learning (KDD 2026)
Tencent Advertising Technology
Tencent Advertising Technology
Jul 14, 2026 · Industry Insights

In‑Depth Interview: HKU Vice President and Tencent Advertising Tech Lead Discuss the Future of AI Talent

A comprehensive dialogue between Hong Kong Chinese University’s vice president and Tencent’s advertising AI experts explores AI frontiers, trustworthy and embodied AI, the four‑generation evolution of recommendation systems, the role of the Tencent Advertising Algorithm Competition in talent development, and practical advice for young professionals navigating the AI‑driven advertising industry.

AIAdvertisingAlgorithm Competition
0 likes · 21 min read
In‑Depth Interview: HKU Vice President and Tencent Advertising Tech Lead Discuss the Future of AI Talent
Tencent Advertising Technology
Tencent Advertising Technology
Jul 9, 2026 · Artificial Intelligence

S‑GRec: Personalized Semantic‑Aware Generative Recommendation with Asymmetric Advantage Alignment

The paper introduces S‑GRec, a semantic‑aware generative recommendation framework that decouples a lightweight online generator from an offline LLM‑based personalized semantic judge, using a novel asymmetric advantage policy optimization to align deep semantic understanding with commercial metrics without adding online latency.

A2POGenerative RecommendationLLM
0 likes · 13 min read
S‑GRec: Personalized Semantic‑Aware Generative Recommendation with Asymmetric Advantage Alignment
Tencent Advertising Technology
Tencent Advertising Technology
Mar 23, 2026 · Industry Insights

Why Tencent’s $885K KDD Cup Challenge Could Redefine Recommendation Systems

The 2026 KDD Cup, powered by Tencent’s Advertising Algorithm Competition with an $885,000 prize pool, challenges participants to unify sequence modeling and feature interaction in large‑scale recommendation systems, offering academic publication paths, real‑world deployment opportunities, and strict latency constraints that push both research and engineering innovation.

AICompetitionKDD Cup
0 likes · 16 min read
Why Tencent’s $885K KDD Cup Challenge Could Redefine Recommendation Systems
Tencent Advertising Technology
Tencent Advertising Technology
Feb 13, 2026 · Frontend Development

How AI‑Native Turns Front‑End Development into a Spec‑Code‑Quality Closed Loop

This article details how Tencent Advertising’s AI‑Native approach restructures front‑end development by centering on spec‑driven repositories, automating code generation, visual verification, and quality checks, ultimately achieving a fully automated AI‑driven development pipeline that reduces coding effort by up to 90 percent.

AISpec Driven Developmentquality assurance
0 likes · 30 min read
How AI‑Native Turns Front‑End Development into a Spec‑Code‑Quality Closed Loop
Tencent Advertising Technology
Tencent Advertising Technology
Feb 5, 2026 · Artificial Intelligence

How Multi-Agent VLMs and PNU Loss Achieve High‑Accuracy Harmful Content Detection with Only 50 Labels

This article presents a low‑resource offensive content detection framework that leverages multi‑agent visual‑language models (MA‑VLMs) for self‑training and a novel Positive‑Negative‑Unlabeled (PNU) loss, enabling accurate classification with as few as 50 annotated samples across multimodal datasets.

PNU lossSelf‑Trainingcontent moderation
0 likes · 20 min read
How Multi-Agent VLMs and PNU Loss Achieve High‑Accuracy Harmful Content Detection with Only 50 Labels
Tencent Advertising Technology
Tencent Advertising Technology
Jan 22, 2026 · Artificial Intelligence

How Tencent’s Bidding Algorithms Evolved from GMPC to GRB: A Deep Dive into Generative RL for Ads

The article reviews the 2025 evolution of Tencent advertising’s bidding system—from the second‑generation GMPC control algorithm through the third‑generation MRB reinforcement‑learning model to the fourth‑generation generative RL GRB—detailing architectural upgrades, multi‑channel modeling, training pipelines, and experimental gains, and outlines the 2026 AI‑agent roadmap.

AdvertisingReinforcement Learningalgorithm
0 likes · 15 min read
How Tencent’s Bidding Algorithms Evolved from GMPC to GRB: A Deep Dive into Generative RL for Ads
Tencent Advertising Technology
Tencent Advertising Technology
Jan 8, 2026 · Artificial Intelligence

How Tencent Boosted Ad Experience by Up to 20% Using Reinforcement‑Learning‑Based Ranking

Tencent's ad tech team redesigned its ad ranking system by adding a parallel user‑experience‑optimized pipeline and evolving from manual CEM tuning to DDPG‑based reinforcement learning, achieving 10‑20% improvements in CTR, repeat‑view rates, and other experience metrics while maintaining overall spend.

AdvertisingRankingReinforcement Learning
0 likes · 17 min read
How Tencent Boosted Ad Experience by Up to 20% Using Reinforcement‑Learning‑Based Ranking