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Tencent Advertising Technology

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Latest from Tencent Advertising Technology

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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

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.

AdvertisingGenerative Modelsalgorithm

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

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.

Advertisingmulti-objective optimizationranking

0 likes · 17 min read

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

Tencent Advertising Technology

Dec 25, 2025 · Artificial Intelligence

How RAVEN Leverages Reinforcement Reasoning for Precise Ad Video Violation Grounding

RAVEN is a reinforcement‑reasoning framework that combines curriculum learning with hierarchical rewards to enable multimodal large language models to accurately locate and classify violation segments in advertisement videos, even under noisy, large‑scale industrial data.

AdvertisingMultimodal LLMcurriculum learning

0 likes · 17 min read

How RAVEN Leverages Reinforcement Reasoning for Precise Ad Video Violation Grounding

Tencent Advertising Technology

Dec 4, 2025 · Artificial Intelligence

How POPEN Boosts LVLM Reasoning Segmentation with Preference Optimization and Ensemble

The paper introduces POPEN, a new framework that uses preference‑based optimization and ensemble methods to reduce hallucinations and improve segmentation accuracy in large visual language models, achieving state‑of‑the‑art results on multiple benchmarks.

Computer VisionLVLMensemble learning

0 likes · 14 min read

How POPEN Boosts LVLM Reasoning Segmentation with Preference Optimization and Ensemble

Tencent Advertising Technology

Nov 28, 2025 · Artificial Intelligence

How Retrv-R1 Redefines Universal Multimodal Retrieval with Reasoning‑Driven MLLM

Retrv‑R1, a reasoning‑driven multimodal large language model framework, tackles the precision‑efficiency dilemma of universal multimodal retrieval by introducing a two‑stage coarse‑to‑fine pipeline, an information‑compression module, a detail‑inspection mechanism, and a three‑stage training strategy, achieving SOTA performance across accuracy, efficiency, and generalization benchmarks.

EfficiencyMLLMdetail inspection

0 likes · 21 min read

How Retrv-R1 Redefines Universal Multimodal Retrieval with Reasoning‑Driven MLLM

Tencent Advertising Technology

Nov 20, 2025 · Artificial Intelligence

CoderRec: Latent Reasoning Boosts Sequential Recommendation

CoderRec, a new sequential recommendation framework jointly developed by Tencent Advertising Technology and Tsinghua University, combines domain‑specific latent reasoning with cross‑scale model collaboration to capture implicit user intent and fuse large‑language‑model semantics with traditional recommender signals, achieving state‑of‑the‑art performance on multiple Amazon datasets.

Artificial Intelligencecross-scale collaborationlarge language models

0 likes · 17 min read

CoderRec: Latent Reasoning Boosts Sequential Recommendation

Tencent Advertising Technology

Nov 6, 2025 · Artificial Intelligence

Boosting Web UI Test Efficiency with AIGC: From Manual Scripts to Intelligent Automation

This report examines the challenges of Web UI testing in Tencent's advertising platform, analyzes current inefficiencies, and presents an AIGC-driven solution that leverages large language models, semantic scripts, and automated pipelines to dramatically improve test case generation, execution accuracy, and CI/CD integration.

AIGCCI/CDLarge Language Model

0 likes · 27 min read

Boosting Web UI Test Efficiency with AIGC: From Manual Scripts to Intelligent Automation

Tencent Advertising Technology

Oct 30, 2025 · Operations

How Tencent Ads Achieved Full‑Automation CI/CD with AI‑Driven Monitoring

This article details Tencent Ads' systematic transformation of its CI/CD pipeline into a fully automated, data‑driven process, highlighting the challenges of manual labor, release quality, and iteration speed, and describing the AI‑powered monitoring and intelligent interception mechanisms that enable zero‑human deployment and multi‑release per day.

AI monitoringCI/CDDevOps

0 likes · 31 min read

How Tencent Ads Achieved Full‑Automation CI/CD with AI‑Driven Monitoring

Tencent Advertising Technology

Sep 27, 2025 · Artificial Intelligence

How AI‑Generated Test Cases Transformed Tencent Ads R&D Workflow

This article details how Tencent's advertising R&D team tackled lengthy, experience‑driven test case creation by deploying AIGC‑powered demand analysis, Prompt + RAG knowledge retrieval, and multi‑stage automated validation, ultimately boosting test case adoption from under 20% to nearly 60% while reducing manual effort and iteration time.

AI TestingAIGCRAG

0 likes · 14 min read

How AI‑Generated Test Cases Transformed Tencent Ads R&D Workflow