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 Expertscounterfactual learning

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

AI Frontier Lectures

Apr 3, 2025 · Artificial Intelligence

How ChartMoE Uses Sparse MoE to Master Chart Understanding and Preserve General Knowledge

ChartMoE, an oral paper at ICLR 2025, introduces a multi‑stage alignment training pipeline and a diversified MoE Connector that dramatically improves chart comprehension while maintaining performance on general multimodal tasks, backed by extensive data construction, training recipes, and thorough evaluations.

ChartMoEMixture of Expertschart understanding

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How ChartMoE Uses Sparse MoE to Master Chart Understanding and Preserve General Knowledge

sparse modeling

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

How ChartMoE Uses Sparse MoE to Master Chart Understanding and Preserve General Knowledge