Author

Alibaba International Intelligent Technology

Alibaba International Tech – Official channel of the Intelligent Technology team, sharing cutting‑edge AI applications and innovations in Alibaba's global e‑commerce business.

Articles

Likes

Views

Comments

Latest from Alibaba International Intelligent Technology

27 recent articles

Alibaba International Intelligent Technology

May 15, 2026 · Artificial Intelligence

LiRA: A Linguistic Robust Anchoring Framework for Low-Resource Cross-Lingual LLM Retrieval

LiRA introduces a dual‑module framework—Arca for anchored representation composition and LaSR for language‑coupled semantic reasoning—backed by theoretical guarantees and extensive experiments that markedly improve multilingual retrieval, similarity, and reasoning performance on low‑resource languages, including a new LazRetrieval benchmark.

Deep LearningInformation Retrievalcross-lingual retrieval

0 likes · 28 min read

LiRA: A Linguistic Robust Anchoring Framework for Low-Resource Cross-Lingual LLM Retrieval

Alibaba International Intelligent Technology

Apr 24, 2026 · Artificial Intelligence

Alibaba International AI Team Lands Multiple Papers at SIGIR, WWW, and WSDM 2026

Alibaba International Intelligent Technology showcases nine industrial‑grade recommendation and search papers accepted at SIGIR, WWW, and WSDM 2026, detailing sparse scaling, counterfactual multi‑task learning, generative recommendation, MoE routing, and multimodal semantic ID breakthroughs with extensive offline and online results.

Generative RecommendationMixture of ExpertsRecommendation Systems

0 likes · 24 min read

Alibaba International AI Team Lands Multiple Papers at SIGIR, WWW, and WSDM 2026

Alibaba International Intelligent Technology

Apr 17, 2026 · Artificial Intelligence

Explicit Semantic Generative Retrieval: A New Paradigm for E‑Commerce Search

The article presents a generative retrieval framework that anchors on a product‑side explicit semantic space, uses single‑sided query alignment, multi‑stage LLM‑driven attribute extraction, schema standardization, and 14B model SFT + DPO training to achieve interpretable, controllable, and high‑performance e‑commerce search.

DPOE-commerceLLM

0 likes · 29 min read

Explicit Semantic Generative Retrieval: A New Paradigm for E‑Commerce Search

Alibaba International Intelligent Technology

Mar 27, 2026 · Artificial Intelligence

How AI Agents Transform International Advertising Platforms

The article analyzes the characteristics of large language models, outlines three evolution directions—interaction redesign, creative productivity, and intelligent ad operations—and details Lazada's multi‑agent architecture, design principles, workflow, and evaluation metrics for deploying AI agents that automate and optimize ad‑campaign management.

AI AgentAdvertising PlatformDecision Engine

0 likes · 33 min read

How AI Agents Transform International Advertising Platforms

Alibaba International Intelligent Technology

Mar 20, 2026 · Artificial Intelligence

From Manual Troubleshooting to AI Automation: Building an Intelligent Diagnosis System for Lazada Ads

The Lazada advertising engine team designed a multi‑agent AI diagnosis platform that transforms noisy, multi‑source alerts into fast, accurate root‑cause analyses, achieving over 70% correct‑diagnosis rate, under 20% false‑alarm rate, and reducing investigation time from minutes to seconds.

AI diagnosisLLMadvertising operations

0 likes · 22 min read

From Manual Troubleshooting to AI Automation: Building an Intelligent Diagnosis System for Lazada Ads

Alibaba International Intelligent Technology

Mar 5, 2026 · Artificial Intelligence

Engineering Exploration of Generative Recall: Leveraging Large Models for Next‑Gen Recommendation Retrieval

The article analyzes the limitations of traditional ID‑based and vector recall, proposes a generative Semantic‑ID‑based recall framework (ASGR), details a series of inference‑time optimizations—including a custom SDPA‑enabled optimizer, novel beam search, static‑cache compilation, tree‑aware attention, sliding‑window attention, quantization, ONNX/Optimum conversion, and TensorRT‑LLM integration—and reports concrete latency and throughput gains that enable large‑scale, low‑latency recommendation serving.

Inference OptimizationLarge Language Modelbeam search

0 likes · 25 min read

Engineering Exploration of Generative Recall: Leveraging Large Models for Next‑Gen Recommendation Retrieval

Alibaba International Intelligent Technology

Feb 27, 2026 · Artificial Intelligence

A New Dual‑Tower Multi‑Objective Recall Framework (CSMF) Boosts Efficiency Without Extra Parameters

The paper introduces CSMF, a cascaded selective‑mask fine‑tuning framework for dual‑tower embedding‑based retrieval that sequentially optimizes exposure, click and conversion goals, incorporates cumulative percentile pruning and adaptive margin loss, and achieves measurable gains in ad revenue and CTR without increasing model size or latency.

Recommendation Systemscascaded selective maskdual-tower

0 likes · 15 min read

A New Dual‑Tower Multi‑Objective Recall Framework (CSMF) Boosts Efficiency Without Extra Parameters

Alibaba International Intelligent Technology

Jan 13, 2026 · Artificial Intelligence

How Multimodal Large Models Boost International Product Information Understanding

The article details how AliExpress leverages a multimodal large‑model pipeline to automatically fill missing product attributes, discover schema gaps, and generate rich application tags, describing the technical challenges, training stages, experimental results, and business impact of the solution.

Chain-of-Thoughtcurriculum learninge‑commerce AI

0 likes · 28 min read

How Multimodal Large Models Boost International Product Information Understanding

Alibaba International Intelligent Technology

Jan 5, 2026 · Artificial Intelligence

Decoupled Multimodal Fusion (DMF) Boosts User Interest Modeling for CTR Prediction

The DMF framework introduces a modality‑enriched Decoupled Target Attention (DTA) and a Complementary Modality Modeling (CMM) strategy that together close the semantic gap between ID and multimodal features, delivering up to 5.3% CTCVR lift, 7.43% GMV increase, and a three‑fold throughput gain in large‑scale e‑commerce recommendation scenarios.

A/B testingCMMCTR prediction

0 likes · 13 min read

Decoupled Multimodal Fusion (DMF) Boosts User Interest Modeling for CTR Prediction

Alibaba International Intelligent Technology

Dec 31, 2025 · Artificial Intelligence

Mitigating Negative Transfer in Multi‑Target Cross‑Domain Recommendation with Unbiased Information Extraction and Adaptation (UIEA)

The paper, accepted at AAAI 2025, proposes UIEA—a three‑stage method that addresses data imbalance and negative transfer in multi‑target cross‑domain recommendation by extracting unbiased shared representations and adapting them with a user‑item attention module, achieving significant gains on Amazon, Douban, and IE datasets.

UIEAcross-domain recommendationdistributionally robust optimization

0 likes · 14 min read

Mitigating Negative Transfer in Multi‑Target Cross‑Domain Recommendation with Unbiased Information Extraction and Adaptation (UIEA)