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Latest from Alimama Tech

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Alimama Tech

May 14, 2025 · Artificial Intelligence

Deep Research‑Driven Risk Root‑Cause Analysis with Domain Graph Constraints for Large‑Scale Advertising Traffic

This article presents a large‑scale advertising risk‑control solution that combines deep‑research paradigms, domain‑graph constraints, and large language models to enable explainable, responsible, and high‑precision fraud detection, detailing system architecture, challenges, demo workflow, and future directions.

AIDeep ResearchLarge Language Model

0 likes · 11 min read

Deep Research‑Driven Risk Root‑Cause Analysis with Domain Graph Constraints for Large‑Scale Advertising Traffic

Alimama Tech

May 12, 2025 · Artificial Intelligence

Universal Recommendation Model (URM): A General Large‑Model Recall System for Advertising

The article presents the Universal Recommendation Model (URM), a large‑language‑model‑based recall framework that integrates world knowledge and e‑commerce expertise through knowledge injection and prompt‑driven alignment, achieving significant offline recall gains and a 3.1% increase in ad consumption while meeting high‑QPS, low‑latency production constraints.

AdvertisingHigh QPSLarge Language Model

0 likes · 17 min read

Universal Recommendation Model (URM): A General Large‑Model Recall System for Advertising

Alimama Tech

Apr 23, 2025 · Artificial Intelligence

How AI Agents Outsmart Humans in the “Who Is Spy” Campus Challenge

The campus AI Agent competition showcased how large‑language‑model‑powered agents can reason, deceive, and collaborate in a social deduction game, revealing model performance trends, participant insights, and future directions for multi‑agent AI research.

AIAgent CompetitionLarge Language Models

0 likes · 6 min read

How AI Agents Outsmart Humans in the “Who Is Spy” Campus Challenge

Alimama Tech

Apr 23, 2025 · Artificial Intelligence

Distribution-aware Graph Prompt Tuning (DAGPrompT) for Heterophilic Graphs

Distribution‑aware Graph Prompt Tuning (DAGPrompT) tackles the pre‑training/downstream mismatch on heterophilic graphs by jointly applying low‑rank GLoRA adaptation and hop‑specific prompts that recast tasks as link‑prediction, yielding up to 4.79% accuracy gains and an average 2.43% improvement in few‑shot node classification.

Few-Shot LearningGraph Neural NetworksPretraining

0 likes · 9 min read

Distribution-aware Graph Prompt Tuning (DAGPrompT) for Heterophilic Graphs

Alimama Tech

Apr 23, 2025 · Artificial Intelligence

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning

The paper introduces an explainable LLM framework (ELLM‑rele) that uses chain‑of‑thought reasoning and a multi‑dimensional knowledge distillation pipeline to compress large‑model relevance judgments into lightweight student models, achieving superior offline relevance scores and online click‑through and conversion improvements in Taobao’s search advertising.

Knowledge DistillationLLMchain-of-thought

0 likes · 17 min read

Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning

Alimama Tech

Apr 17, 2025 · Artificial Intelligence

Ali Mama External Investment & Brand Algorithm Series

The Ali Mama External Investment & Brand Algorithm Series compiles recent KDD, NAACL, and SIGIR research on ad allocation, pacing, traffic estimation, and creative optimization, offering a comprehensive overview of cutting‑edge techniques that enhance advertising efficiency and brand performance across digital platforms.

Ali MamaKDDNAACL

0 likes · 1 min read

Alimama Tech

Apr 17, 2025 · Artificial Intelligence

PosterMaker: High-Quality Product Poster Generation with Accurate Text Rendering

PosterMaker leverages a ControlNet‑based TextRenderNet with character‑level visual features and a reward‑driven foreground‑extension detector to generate high‑quality product posters that accurately render Chinese text (over 90% sentence accuracy) while preserving product fidelity, and is already deployed in Alibaba’s AI creative tool.

Poster Generationcharacter-level featuresdiffusion models

0 likes · 18 min read

PosterMaker: High-Quality Product Poster Generation with Accurate Text Rendering

Alimama Tech

Apr 10, 2025 · Big Data

Performance Optimization of Apache Paimon in Dolphin OLAP Engine

The article details how Apache Paimon, integrated as an external table format in Alibaba’s Dolphin OLAP engine, achieves millisecond‑level query latency and up to 10k QPS through ORC push‑down, manifest conversion, caching, concurrency, and encoding optimizations, outperforming StarRocks and Hologres.

DolphinJavaOLAP

0 likes · 17 min read

Performance Optimization of Apache Paimon in Dolphin OLAP Engine

Alimama Tech

Apr 3, 2025 · Artificial Intelligence

UQABench: A Personalized QA Benchmark for Evaluating User Embeddings in LLM‑Driven Recommendation Systems

UQABench introduces the first benchmark for assessing high‑density user embeddings that serve as soft prompts in LLM‑driven recommendation, featuring a three‑stage pre‑train‑align‑evaluate pipeline, seven personalized QA tasks, and findings that transformer encoders, side‑information, simple linear adapters, and larger models markedly improve accuracy while cutting input tokens to about five percent.

AILLMbenchmark

0 likes · 12 min read

UQABench: A Personalized QA Benchmark for Evaluating User Embeddings in LLM‑Driven Recommendation Systems

Alimama Tech

Mar 28, 2025 · Artificial Intelligence

How Alibaba’s Taobao AI Models Revolutionize E‑Commerce Recommendations and Bidding

Alibaba’s Taobao Group unveiled its AIGX technology suite, including the RecGPT recommendation model, the AIGB generative bidding system, and a new AI‑generated video engine, detailing open‑source benchmarks, NeurIPS workshop participation, and measurable ROI improvements for e‑commerce advertising.

AIE-commerceGenerative Bidding

0 likes · 5 min read

How Alibaba’s Taobao AI Models Revolutionize E‑Commerce Recommendations and Bidding