Alibaba International Intelligent Technology
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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.

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Latest from Alibaba International Intelligent Technology

30 recent articles
Alibaba International Intelligent Technology
Alibaba International Intelligent Technology
Jun 5, 2026 · Artificial Intelligence

From Alchemist to Decision‑Maker: How Agents Redefine Algorithm Engineers’ Role

The article details a multi‑layer Research Agent system that automates the repetitive execution steps of recommendation model development, demonstrates a 17.5% HitRate@100 lift on Lazada’s generative recall pipeline, and argues that while agents excel at efficient trial‑and‑error, true creative breakthroughs still require human insight.

AI AgentsLazadaMemory Management
0 likes · 23 min read
From Alchemist to Decision‑Maker: How Agents Redefine Algorithm Engineers’ Role
Alibaba International Intelligent Technology
Alibaba International Intelligent Technology
May 29, 2026 · Artificial Intelligence

Turning Cutting-Edge AI into a Cocktail at Zhejiang University’s Academic Bar

Alibaba International hosted an Academic Bar at Zhejiang University where experts presented multilingual e‑LLM models, next‑generation recommendation systems, AI‑driven optical design, safety frameworks for agents, a benchmark for e‑commerce chatbots, virtual user research, an Agent Harness architecture, and edge‑side large‑model techniques, illustrating the practical convergence of cutting‑edge AI research and industry.

AI AgentsAI safetyLarge Language Models
0 likes · 9 min read
Turning Cutting-Edge AI into a Cocktail at Zhejiang University’s Academic Bar
Alibaba International Intelligent Technology
Alibaba International Intelligent Technology
May 22, 2026 · Artificial Intelligence

How SORT Transforms Precision Ranking with a Transformer‑Based Architecture

SORT re‑architects industrial‑scale ranking by shifting to a request‑centric data paradigm, integrating sparse and MoE optimizations into a Transformer backbone, and delivering significant CTR‑AUC, FLOPs, and online metric improvements while maintaining high training and inference efficiency.

Large Model ScalingMixture of ExpertsTransformer
0 likes · 19 min read
How SORT Transforms Precision Ranking with a Transformer‑Based Architecture
Alibaba International Intelligent Technology
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.

cross-lingual retrievaldeep learninginformation retrieval
0 likes · 28 min read
LiRA: A Linguistic Robust Anchoring Framework for Low-Resource Cross-Lingual LLM Retrieval
Alibaba International Intelligent Technology
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.

Large Language ModelsMixture of Expertscounterfactual learning
0 likes · 24 min read
Alibaba International AI Team Lands Multiple Papers at SIGIR, WWW, and WSDM 2026
Alibaba International Intelligent Technology
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
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 PlatformLazada
0 likes · 33 min read
How AI Agents Transform International Advertising Platforms
Alibaba International Intelligent Technology
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 diagnosisIncident ResponseLLM
0 likes · 22 min read
From Manual Troubleshooting to AI Automation: Building an Intelligent Diagnosis System for Lazada Ads
Alibaba International Intelligent Technology
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.

beam searchgenerative recallinference optimization
0 likes · 25 min read
Engineering Exploration of Generative Recall: Leveraging Large Models for Next‑Gen Recommendation Retrieval
Alibaba International Intelligent Technology
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.

cascaded selective maskdual-towerembedding-based retrieval
0 likes · 15 min read
A New Dual‑Tower Multi‑Objective Recall Framework (CSMF) Boosts Efficiency Without Extra Parameters