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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
Oct 18, 2023 · Artificial Intelligence

Technical Challenges and Directions for Large‑Model Applications in E‑commerce

Taobao Group’s ten large‑model challenges target e‑commerce AI by demanding domain‑specific pre‑training, multi‑step reasoning, extended context handling, factual reliability, intelligent tool orchestration, robust retrieval integration, fuzzy‑intent tool selection, scalable multi‑objective RLHF, improved query rewriting, and knowledge‑driven recommendation.

RLHFe-commerceknowledge hallucination
0 likes · 16 min read
Technical Challenges and Directions for Large‑Model Applications in E‑commerce
Alimama Tech
Alimama Tech
Oct 18, 2023 · Artificial Intelligence

Incentive-Compatible Auction Mechanisms for Automated Bidding with Budget and ROI Constraints

The paper presents incentive‑compatible, individually rational auction mechanisms for automated ad bidding where advertisers report private budget and ROI constraints, characterizes feasible allocation and payment rules via monotone budget functions, introduces a personalized ranking‑score auction using a “key ROI,” and demonstrates through experiments that the design achieves near‑optimal welfare and revenue while ensuring truthful reporting.

ROIauction theoryautomated bidding
0 likes · 17 min read
Incentive-Compatible Auction Mechanisms for Automated Bidding with Budget and ROI Constraints
Alimama Tech
Alimama Tech
Oct 11, 2023 · Artificial Intelligence

How Minimax Regret Optimization Tackles Black‑Box Adversarial Bidding Constraints

This article explains how the Alibaba‑Mama team addresses constrained ROI bidding in a black‑box adversarial environment by introducing a Minimax Regret Optimization framework that aligns training and test distributions, builds a causal world model, and demonstrates robust performance on synthetic and real‑world ad auctions.

adversarial biddingconstrained optimizationminimax regret
0 likes · 14 min read
How Minimax Regret Optimization Tackles Black‑Box Adversarial Bidding Constraints
Alimama Tech
Alimama Tech
Sep 20, 2023 · Artificial Intelligence

CCF C³ Forum: AI Technology Driving Business Transformation

The 23rd CCF C³ Forum, organized by Alibaba’s Alimama and the CCF CTO Club, examined how large‑model AI is reshaping intelligent business technology, from data‑driven to knowledge‑driven approaches, enhancing e‑commerce with smarter search, personalized recommendations, content creation, and guiding merchants on future AI‑native strategies.

AI technologyAI-native businessData Intelligence
0 likes · 8 min read
CCF C³ Forum: AI Technology Driving Business Transformation
Alimama Tech
Alimama Tech
Sep 20, 2023 · Artificial Intelligence

Exploring Model Dynamics for Accumulative Poisoning Detection

The paper, a joint effort by Alibaba Mama and HKBU TMLR, shows that monitoring model dynamics—specifically a newly defined memorization‑discrepancy metric—can reveal hidden accumulative poisoning attacks in online advertising streams, and introduces a discrepancy‑aware correction algorithm that consistently outperforms existing defenses across benchmark datasets.

Machine Learning SecurityOnline Learningdefense algorithms
0 likes · 13 min read
Exploring Model Dynamics for Accumulative Poisoning Detection
Alimama Tech
Alimama Tech
Sep 12, 2023 · Artificial Intelligence

Megatron-LLaMA: High-Performance Large Language Model Training Framework

Megatron-LLaMA is an open‑source high‑performance training framework for LLaMA models, offering tensor, pipeline, and sequence parallelism, an overlapped optimizer, and near‑linear scalability, achieving up to 176% speedup on 32 GPUs and robust performance even with limited network bandwidth.

DeepSpeedDistributed TrainingGPU Optimization
0 likes · 10 min read
Megatron-LLaMA: High-Performance Large Language Model Training Framework
Alimama Tech
Alimama Tech
Sep 12, 2023 · Artificial Intelligence

Content Collaborative Graph Neural Network for Large‑Scale E‑commerce Search

CC‑GNN addresses three drawbacks of existing graph‑neural retrieval for e‑commerce by adding content phrase nodes, scalable meta‑path message passing, and difficulty‑aware noisy contrastive learning with counterfactual augmentation, achieving up to 16 % recall improvement and notably larger gains on long‑tail queries and cold‑start items.

E-commerce SearchLong Tailcold start
0 likes · 19 min read
Content Collaborative Graph Neural Network for Large‑Scale E‑commerce Search
Alimama Tech
Alimama Tech
Sep 6, 2023 · Artificial Intelligence

Learning-Based Ad Auction Design with Externalities: Score-Weighted VCG Framework

The paper introduces Score‑Weighted VCG, a learning‑based ad auction framework that models externalities by learning a monotone scoring function and solving a weighted‑welfare matching problem, achieving incentive compatibility, individual rationality, and near‑optimal revenue and welfare on synthetic and large‑scale Taobao data.

ExternalitiesVCGad auction
0 likes · 16 min read
Learning-Based Ad Auction Design with Externalities: Score-Weighted VCG Framework
Alimama Tech
Alimama Tech
Aug 23, 2023 · Artificial Intelligence

Reinforcement Learning for Pacing in Preloaded Ads (RLTP)

The paper introduces RLTP, a reinforcement‑learning‑based pacing system that models delayed‑impression preloaded ads as an MDP, uses a dueling DQN to select traffic probabilities, and simultaneously meets exposure targets, ensures smooth delivery, and maximizes CTR, outperforming rule‑based and PID baselines while removing complex multi‑stage pipelines.

RLTPad pacingdelayed impression
0 likes · 16 min read
Reinforcement Learning for Pacing in Preloaded Ads (RLTP)
Alimama Tech
Alimama Tech
Aug 16, 2023 · Artificial Intelligence

Generative AI Advances for Intelligent Commerce: Alibaba's Knowledge‑Driven, Reasoning, and Creative Technologies

Alibaba’s Alimama showcases Intelligent Commerce 2.0 by combining knowledge‑driven multimodal product detection, trillion‑parameter model serving, logical‑reasoning decision‑intelligence frameworks for AI‑generated bidding, and creative diffusion‑based marketing tools such as virtual try‑ons and font style transfer, all powered by a massive training platform and academic collaborations.

Intelligent Commercecreative AIdecision intelligence
0 likes · 13 min read
Generative AI Advances for Intelligent Commerce: Alibaba's Knowledge‑Driven, Reasoning, and Creative Technologies