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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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Latest from Meituan Technology Team

100 recent articles max

Meituan Technology Team

May 22, 2025 · Fundamentals

Unlocking AB Testing: Core Statistical Principles Behind Reliable Experiments

This article explains the statistical foundations of AB testing, covering the Rubin causal model, SUTVA and randomization assumptions, parameter and confidence‑interval estimation, hypothesis‑testing procedures, and essential limit theorems such as the law of large numbers and the central limit theorem.

AB testingcausal inferencehypothesis testing

0 likes · 17 min read

Unlocking AB Testing: Core Statistical Principles Behind Reliable Experiments

Meituan Technology Team

May 22, 2025 · Fundamentals

Why Write an A/B Experiment Whitepaper? – Overview and Methodology

This whitepaper introduces the importance of data‑driven A/B testing, outlines its theoretical foundations, practical challenges such as small samples and spillover effects, and presents a structured roadmap—including experiment basics, statistical principles, advanced designs, and SDK implementation—to help practitioners design trustworthy experiments.

A/B testingcausal inferencedata-driven

0 likes · 18 min read

Why Write an A/B Experiment Whitepaper? – Overview and Methodology

Meituan Technology Team

May 15, 2025 · Artificial Intelligence

How Meituan’s MTGR Framework Achieved 65× Faster Inference with Scaling Laws

Meituan’s recommendation team introduced the MTGR framework, aligning traditional DLRM features with a unified HSTU‑based Transformer to explore scaling laws, delivering a 65‑fold FLOPs boost, 12% lower inference cost, and record gains in online CTR and order volume across its food‑delivery platform.

Large-Scale TrainingMTGRRecommendation Systems

0 likes · 26 min read

How Meituan’s MTGR Framework Achieved 65× Faster Inference with Scaling Laws

Meituan Technology Team

May 8, 2025 · Artificial Intelligence

AI-Driven Testing Innovations at Meituan Tech Seminar

At Meituan’s technical seminar, experts showcased AI-driven testing innovations—including multi‑agent UI automation, multimodal defect detection, Retrieval‑Augmented Generation for test case creation, and AI‑powered code change analysis—demonstrating how these techniques cut manual effort and boost quality in large‑scale systems handling billions of daily requests.

AI testingMeituanTech Seminar

0 likes · 5 min read

AI-Driven Testing Innovations at Meituan Tech Seminar

Meituan Technology Team

May 8, 2025 · Artificial Intelligence

Building a Mixed OR+ML Inference Framework with TritonServer: Architecture, Challenges, and Solutions

The article describes how a large‑scale dispatch system was re‑engineered with NVIDIA TritonServer to unify GPU‑accelerated operations‑research kernels and deep‑learning models, detailing a three‑stage architecture (in‑process, cross‑process, cross‑node), the performance, stability and memory challenges addressed, and future plans for heterogeneous GPU scaling.

GPUInferencePerformance optimization

0 likes · 11 min read

Building a Mixed OR+ML Inference Framework with TritonServer: Architecture, Challenges, and Solutions

Meituan Technology Team

Apr 24, 2025 · Artificial Intelligence

Meituan AI Recruitment: Join Our Advanced Technology Teams

Meituan's AI recruitment page showcases diverse opportunities across AI infrastructure, intelligent interaction, visual intelligence, and intelligent products, featuring roles from algorithm engineers to product managers working on cutting-edge technologies including large models, intelligent agents, and multimodal systems.

AI RecruitmentIntelligent Agentsalgorithm engineering

0 likes · 5 min read

Meituan AI Recruitment: Join Our Advanced Technology Teams

Meituan Technology Team

Apr 10, 2025 · Artificial Intelligence

Meituan's 10 Papers at CVPR 2025 and ICLR 2025

Meituan presented 10 papers at CVPR 2025 and ICLR 2025, featuring breakthroughs in LLMs, multimodal generation, and computer vision, such as ternary preference alignment, temporal-decay DPO, joint-embedding architectures, 4-bit quantization, and spatial-temporal models, emphasizing model efficiency, cross-modal alignment, and high-resolution synthesis, and will host an ICLR 2025 booth in Singapore for collaboration and knowledge exchange.

AI researchCVPR 2025ICLR 2025

0 likes · 12 min read

Meituan's 10 Papers at CVPR 2025 and ICLR 2025

Meituan Technology Team

Mar 27, 2025 · Artificial Intelligence

Q-Eval-100K Dataset and Q-Eval-Score Evaluation Framework for Text-to-Visual Generation

The Q‑Eval‑100K dataset, comprising 100 k AIGC images and videos with separate visual‑quality and textual‑consistency annotations, powers the open‑source Q‑Eval‑Score framework that fine‑tunes multimodal models to deliver state‑of‑the‑art, scalable, and objective evaluation—including a “vague‑to‑specific” strategy for long prompts—surpassing existing benchmarks.

AIGCVision-Languagedataset

0 likes · 9 min read

Q-Eval-100K Dataset and Q-Eval-Score Evaluation Framework for Text-to-Visual Generation

Meituan Technology Team

Mar 20, 2025 · Artificial Intelligence

Big Model Bodu Internship Program

Meituan's Big Model Bodu Internship Program invites master’s and doctoral students specializing in big‑model AI to undertake 3‑12‑month research‑focused internships that provide real‑world data, extensive computational resources, mentorship from leading researchers, opportunities for joint publications and patents, housing subsidies for non‑local participants, and the possibility of full‑time conversion after interview, with applications allowing up to three positions and results communicated via email or SMS.

Artificial IntelligenceBig Model TechnologyCareer Development

0 likes · 4 min read

Meituan Technology Team

Mar 20, 2025 · Artificial Intelligence

Meituan Tech Team's Selected Papers on Large Language Models and AI (2024-2025)

The article compiles Meituan’s recent 2024‑2025 research on large language models, presenting a diverse set of papers that explore transformer enhancements, scaling laws, safety optimization, instruction fine‑tuning, temporal decay learning, code generation, agent refinement, cost‑efficient MoE inference, quantization, fast parallel inference, speculative decoding, multilingual speech, vision‑language models, evaluation benchmarks, and jailbreak robustness.

ACLAILLM

0 likes · 4 min read

Meituan Tech Team's Selected Papers on Large Language Models and AI (2024-2025)