Meituan Technology Team
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Meituan Technology Team

Over 10,000 engineers powering China’s leading lifestyle services e‑commerce platform. Supporting hundreds of millions of consumers, millions of merchants across 2,000+ industries. This is the public channel for the tech teams behind Meituan, Dianping, Meituan Waimai, Meituan Select, and related services.

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Recent Articles

Latest from Meituan Technology Team

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Meituan Technology Team
Meituan Technology Team
Aug 20, 2026 · Artificial Intelligence

How Meituan Search 3.0 Leverages LLM Semantic Representations to Boost Ranking

The article details Meituan Search 3.0’s three‑phase journey—validating LLM‑based semantic vectors, rebuilding a systematic representation pipeline with contrastive learning and LoRA, and transferring the model to downstream item ranking—showing how 64‑dimensional cosine similarity features and multi‑scale embeddings consistently improve click, order and NDCG metrics across service‑retail search scenarios.

EmbeddingLLMLoRA
0 likes · 44 min read
How Meituan Search 3.0 Leverages LLM Semantic Representations to Boost Ranking
Meituan Technology Team
Meituan Technology Team
Aug 13, 2026 · Artificial Intelligence

Highlights of Meituan’s KDD’26 Papers and the Champion Strategies for the DataAgents Track

This article presents eight Meituan research papers accepted at KDD 2026—covering recommendation foundation models, contrast‑driven reward modeling, agentic search benchmarks, deterministic ad allocation, cross‑domain ETA meta‑generalization, generative ad‑bidding, hierarchical multi‑slot allocation, and distributed generative recommendation training—along with a detailed walkthrough of the team’s winning approach in the KDD Cup 2026 DataAgents competition.

Advertising OptimizationData AgentsKDD 2026
0 likes · 14 min read
Highlights of Meituan’s KDD’26 Papers and the Champion Strategies for the DataAgents Track
Meituan Technology Team
Meituan Technology Team
Aug 6, 2026 · Artificial Intelligence

A Deep Dive into Agent Evaluation: From Basics to Advanced Practices

This article explains why evaluating AI agents requires more than answer correctness, outlines a four‑layer evaluation framework (result, process, efficiency, risk), compares short‑ and long‑horizon agents, and presents a practical methodology that combines objective and subjective metrics, rubric binary‑ization, case management, and infrastructure requirements for scalable, repeatable agent testing.

AI agentEvaluation FrameworkRubric
0 likes · 25 min read
A Deep Dive into Agent Evaluation: From Basics to Advanced Practices
Meituan Technology Team
Meituan Technology Team
Jul 9, 2026 · Artificial Intelligence

LongCat-2.0 Open‑Sourced: Meituan Releases Domestic‑Chip Optimized Inference Code

Meituan has open‑sourced LongCat-2.0, a 1.6‑trillion‑parameter model that runs inference on domestic GPU/NPUs through sparse attention, N‑gram embedding, and a MOPD architecture, providing multi‑precision weights and deployment scripts to enable stable, high‑throughput serving on existing Chinese hardware.

Inference OptimizationLarge Language ModelLongCat-2.0
0 likes · 7 min read
LongCat-2.0 Open‑Sourced: Meituan Releases Domestic‑Chip Optimized Inference Code
Meituan Technology Team
Meituan Technology Team
Jul 1, 2026 · Artificial Intelligence

LongCat‑2.0: Training a Trillion‑Parameter Model on a Domestic 50k‑Card Cluster

Meituan’s LongCat‑2.0, a 1.6‑trillion‑parameter MoE model trained on a 50,000‑card domestic cluster, supports 1 M‑token context, uses Sparse Attention, zero‑compute experts and MOPD architecture, achieving over 1 T tokens/day throughput, 1.5× MFU efficiency, and top‑ranked scores on coding and agent benchmarks.

AI modelLongCat-2.0MoE
0 likes · 10 min read
LongCat‑2.0: Training a Trillion‑Parameter Model on a Domestic 50k‑Card Cluster
Meituan Technology Team
Meituan Technology Team
Jun 25, 2026 · Artificial Intelligence

Meituan LongCat’s VitaBench 2.0: A New Benchmark for Long‑Term Dynamic Agents

VitaBench 2.0, an open‑source benchmark from Meituan LongCat, evaluates large language models on long‑term, dynamic user interactions using 56 realistic users, 819 tasks, over 2 000 evolving preferences across up to 1 580 days, and reveals that even top models struggle with memory, personalization and proactive behavior.

LLM evaluationMeituan LongCatVitaBench 2.0
0 likes · 17 min read
Meituan LongCat’s VitaBench 2.0: A New Benchmark for Long‑Term Dynamic Agents
Meituan Technology Team
Meituan Technology Team
Jun 18, 2026 · Artificial Intelligence

Meituan’s End‑to‑End AIGC Poster Generation: The Generate‑Edit‑Judge System

The article details Meituan’s AIGC poster‑creation pipeline, which tackles design‑resource scarcity, rapid turnaround, and quality control by integrating three open‑source models—PosterCraft for end‑to‑end generation, PosterOmni for unified multi‑task editing, and PosterReward for automated quality assessment—forming a self‑evolving generate‑edit‑judge loop.

AIGCMeituanPoster Generation
0 likes · 27 min read
Meituan’s End‑to‑End AIGC Poster Generation: The Generate‑Edit‑Judge System
Meituan Technology Team
Meituan Technology Team
Jun 11, 2026 · Artificial Intelligence

From Moonwalks to Cyber Cities: How WBench Maps the Limits of World Models

WBench, the first systematic multi‑turn benchmark for interactive video world models, evaluates 20 cutting‑edge models across navigation, actions, editing and view‑switching, revealing that no single model excels at all tasks, navigation is independent of visual quality, and multi‑turn interaction causes a 33‑point drop in performance.

AI evaluationInteractive VideoNavigation
0 likes · 7 min read
From Moonwalks to Cyber Cities: How WBench Maps the Limits of World Models
Meituan Technology Team
Meituan Technology Team
May 22, 2026 · Artificial Intelligence

From High-Fidelity to Real-World Use: LongCat Video Avatar 1.5 Open‑Source Release

LongCat Video Avatar 1.5 is now open‑source, delivering commercial‑grade lip sync, physical realism, long‑video stability, multi‑person interaction and 15× faster inference through Whisper‑large audio encoding, DMD 8‑step distillation and LoRA adapters, and it outperforms leading closed‑source models in extensive human‑rated benchmarks.

AILongCat-Video-AvatarWhisper-large
0 likes · 9 min read
From High-Fidelity to Real-World Use: LongCat Video Avatar 1.5 Open‑Source Release