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Alimama Tech

Official Alimama tech channel, showcasing all of Alimama's technical innovations.

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Recent Articles

Latest from Alimama Tech

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Alimama Tech
Alimama Tech
Dec 17, 2025 · Artificial Intelligence

How VeM Achieves Precise Semantic, Temporal, and Rhythmic Alignment in Video-to-Music Generation

The VeM model introduces a latent diffusion framework that leverages hierarchical video parsing, scene‑guided cross‑attention, and a transition‑beat alignment adapter to generate high‑fidelity background music perfectly synchronized with video semantics, timing, and rhythm, outperforming existing baselines on extensive quantitative and qualitative evaluations.

Temporal Alignmentaudio generationcross-attention
0 likes · 14 min read
How VeM Achieves Precise Semantic, Temporal, and Rhythmic Alignment in Video-to-Music Generation
Alimama Tech
Alimama Tech
Dec 3, 2025 · Artificial Intelligence

How LORE Transforms E‑Commerce Search Relevance with Generative AI

The article details the development and deployment of LORE, a large generative model that reshapes e‑commerce search relevance by combining knowledge injection, chain‑of‑thought reasoning, and multimodal alignment, achieving simultaneous improvements in user experience and revenue metrics.

E-commerceSystem architecturechain-of-thought
0 likes · 15 min read
How LORE Transforms E‑Commerce Search Relevance with Generative AI
Alimama Tech
Alimama Tech
Nov 26, 2025 · Artificial Intelligence

How Alibaba’s ROCK & ROLL Enable Scalable Agentic AI Training

Alibaba’s open‑source ROCK environment sandbox and the ROLL reinforcement‑learning engine together provide a standardized, high‑throughput training loop that lets developers scale Agentic AI from a single machine to thousands of parallel instances while simplifying debugging and resource management.

Agentic AIScalable Traininginfrastructure
0 likes · 12 min read
How Alibaba’s ROCK & ROLL Enable Scalable Agentic AI Training
Alimama Tech
Alimama Tech
Nov 11, 2025 · Artificial Intelligence

Accelerating LLM RL with Async Training, Mini‑Critics, and Attention Rewards

This article introduces the 3A collaborative framework—Async architecture, Asymmetric PPO mini‑critics, and an attention‑based reasoning rhythm—demonstrating how decoupled, fine‑grained parallel training and structure‑aware reward allocation dramatically improve efficiency, scalability, and interpretability of reinforcement learning for large language models.

Asynchronous TrainingLarge Language Modelsattention mechanisms
0 likes · 23 min read
Accelerating LLM RL with Async Training, Mini‑Critics, and Attention Rewards
Alimama Tech
Alimama Tech
Nov 11, 2025 · Artificial Intelligence

Industrial-Scale Graph Learning: Boosting Ad ROI and Winning Beijing’s Science Award

The award‑winning industrial graph learning system developed by Peking University and Alibaba Mama combines novel dynamic graph embedding and GNN techniques, scales to millions of merchants, and has driven over 12% ad ROI improvement while publishing dozens of top‑conference papers.

AI ResearchAdvertising OptimizationIndustrial AI
0 likes · 6 min read
Industrial-Scale Graph Learning: Boosting Ad ROI and Winning Beijing’s Science Award
Alimama Tech
Alimama Tech
Oct 29, 2025 · Artificial Intelligence

LLM Breakthroughs at EMNLP 2025: Embedding Compression, Complex Instructions, Knowledge Scaling

EMNLP 2025 in Suzhou showcases Taobao's booth featuring four cutting‑edge AI papers that introduce a novel embedding compression framework, an automatic iterative refinement method for complex instruction generation, a knowledge infusion scaling law for large language models, and a video caption optimization approach for text‑to‑video generation.

Large Language Modelsembedding compressioninstruction generation
0 likes · 7 min read
LLM Breakthroughs at EMNLP 2025: Embedding Compression, Complex Instructions, Knowledge Scaling
Alimama Tech
Alimama Tech
Oct 22, 2025 · Artificial Intelligence

How Alibaba’s AIGC Model Revolutionizes Virtual Fashion Try‑On

This article details Alibaba’s Taobao Star fashion AIGC model, explaining its data pipeline, captioning strategy, multi‑stage training, and impressive virtual try‑on results for users and merchants, while showcasing model‑based and model‑free generation and pose‑transfer capabilities.

AIAIGCModel Training
0 likes · 11 min read
How Alibaba’s AIGC Model Revolutionizes Virtual Fashion Try‑On
Alimama Tech
Alimama Tech
Oct 15, 2025 · Artificial Intelligence

How Alibaba’s Taobao Starry Model Delivers Precise, Consistent E‑commerce Image Edits

Alibaba’s Taobao Starry Image Editing model tackles the e‑commerce challenge of maintaining visual consistency by introducing a high‑fidelity, plug‑in architecture, a million‑scale consistency dataset, and multi‑stage multilingual training, enabling precise, controllable edits without altering product layout or background.

ConsistencyData Engineeringe‑commerce AI
0 likes · 10 min read
How Alibaba’s Taobao Starry Model Delivers Precise, Consistent E‑commerce Image Edits
Alimama Tech
Alimama Tech
Oct 1, 2025 · Artificial Intelligence

How RecIS Revolutionizes Large‑Scale Sparse‑Dense Recommendation Training

RecIS is an open‑source, PyTorch‑based unified framework designed for ultra‑large‑scale sparse‑dense computation in recommendation systems, offering a full solution for training models with massive samples, multimodal inputs, and large embeddings, and demonstrating significant performance gains over TensorFlow and TorchRec in production deployments.

PyTorchdeep learning frameworklarge-scale AI
0 likes · 24 min read
How RecIS Revolutionizes Large‑Scale Sparse‑Dense Recommendation Training