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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

100 recent articles max
Meituan Technology Team
Meituan Technology Team
Apr 23, 2026 · Artificial Intelligence

LARYBench Introduces an ImageNet‑Style Benchmark for Embodied Action Representations Learned from Human Video

LARYBench (Latent Action Representation Yielding Benchmark) provides the first systematic, ImageNet‑scale evaluation for implicit action representations derived from large‑scale human video, decoupling representation quality from downstream control, and shows that general‑purpose vision models outperform specialized embodied models in both action generalization and control precision across diverse robot morphologies and environments.

RoboticsVision-Language-Actionaction representation
0 likes · 13 min read
LARYBench Introduces an ImageNet‑Style Benchmark for Embodied Action Representations Learned from Human Video
Meituan Technology Team
Meituan Technology Team
Apr 16, 2026 · Artificial Intelligence

Can End-to-End Diffusion TTS Beat Traditional Pipelines? Inside LongCat-AudioDiT

LongCat-AudioDiT introduces a wave‑VAE plus diffusion Transformer architecture that eliminates intermediate spectrograms, solves training‑inference mismatch with dual constraints, replaces classifier‑free guidance with adaptive projection guidance, and achieves state‑of‑the‑art zero‑shot voice cloning performance on multiple benchmarks.

AI researchAudio Generationdiffusion model
0 likes · 12 min read
Can End-to-End Diffusion TTS Beat Traditional Pipelines? Inside LongCat-AudioDiT
Meituan Technology Team
Meituan Technology Team
Apr 2, 2026 · Artificial Intelligence

Can AI Really Prove Math? Inside LongCat‑Flash‑Prover’s Breakthrough

LongCat‑Flash‑Prover, an open‑source AI model that decomposes theorem proving into auto‑formalization, sketching, and proving with tool‑integrated reasoning, achieves SOTA results on MiniF2F‑Test (97.1% with only 72 inference steps) and strong performance on MathOlympiad‑Bench and PutnamBench, demonstrating that AI can move from guessing answers to rigorous, verifiable mathematical proofs.

AI theorem provingLean4formal verification
0 likes · 14 min read
Can AI Really Prove Math? Inside LongCat‑Flash‑Prover’s Breakthrough
Meituan Technology Team
Meituan Technology Team
Mar 12, 2026 · Frontend Development

How Qwik.js Resumability Supercharged Meituan‑Dianping’s M‑Site Performance

The article details how Meituan‑Dianping’s growth team rebuilt its high‑traffic M‑site using Qwik.js, replacing a legacy Vue‑based stack with a resumable SSR architecture that eliminates hydration overhead, dramatically reduces first‑screen JS size, and boosts conversion metrics across weak‑network and low‑end devices.

QwikResumabilitySSR
0 likes · 40 min read
How Qwik.js Resumability Supercharged Meituan‑Dianping’s M‑Site Performance
Meituan Technology Team
Meituan Technology Team
Jan 29, 2026 · Artificial Intelligence

How LongCat‑Flash‑Thinking‑2601 Achieves Real‑World Generalization for Agents

LongCat‑Flash‑Thinking‑2601, a 560‑billion‑parameter MoE model, combines environment expansion, multi‑environment RL, systematic noise training, a heavy‑thinking reasoning mode, and Zigzag sparse attention to deliver strong benchmark performance and robust real‑world agent capabilities.

Environment ExpansionLarge Language ModelNoise Robustness
0 likes · 14 min read
How LongCat‑Flash‑Thinking‑2601 Achieves Real‑World Generalization for Agents
Meituan Technology Team
Meituan Technology Team
Jan 23, 2026 · Artificial Intelligence

How EvoCUA Set a New Open‑Source SOTA for Computer‑Use Agents with Evolutionary Learning

EvoCUA, a native computer‑use agent from Meituan, combines a verifiable data‑synthesis engine, a ten‑thousand‑level sandbox infrastructure, and an experience‑driven learning paradigm to overcome data‑scaling and feedback challenges, achieving a 56.7% success rate on the OSWorld benchmark and surpassing previous open‑source models.

AI AgentOSWorldcomputer use
0 likes · 27 min read
How EvoCUA Set a New Open‑Source SOTA for Computer‑Use Agents with Evolutionary Learning
Meituan Technology Team
Meituan Technology Team
Jan 8, 2026 · Artificial Intelligence

Must‑Read AAAI 2026 Papers: Efficient Reasoning, Annealing, Multimodal Diffusion & More

This article curates eight AAAI 2026 papers authored by the Meituan research team, covering verifiable stepwise rewards for LLM reasoning, annealing strategies in large‑scale training, process reward models, competence‑difficulty sampling, high‑fidelity visual text rendering, counterfactual fusion, compress‑then‑rank reranking, and cross‑modal quantization for generative recommendation, with direct PDF links for each work.

AAAI2026CounterfactualLLM
0 likes · 14 min read
Must‑Read AAAI 2026 Papers: Efficient Reasoning, Annealing, Multimodal Diffusion & More
Meituan Technology Team
Meituan Technology Team
Nov 27, 2025 · Artificial Intelligence

AMO‑Bench: A New High‑Difficulty, Original Math Reasoning Benchmark for LLMs

AMO‑Bench, released by Meituan's LongCat team, is a 50‑question, IMO‑level math reasoning benchmark that combines original, high‑difficulty problems with automated scoring, exposing the current limits of top large language models whose best accuracy hovers around 52 % and offering a more discriminative evaluation tool for future model improvements.

AI evaluationAMO-Benchbenchmark
0 likes · 12 min read
AMO‑Bench: A New High‑Difficulty, Original Math Reasoning Benchmark for LLMs
Meituan Technology Team
Meituan Technology Team
Nov 3, 2025 · Artificial Intelligence

Introducing VitaBench: A Real-World Agent Benchmark That Reveals a 30% Success Gap

VitaBench, a new open‑source benchmark from Meituan’s LongCat team, evaluates LLM‑driven agents across three realistic life‑service scenarios—food ordering, restaurant dining, and travel planning—using 66 tools and quantifying reasoning, tool, and interaction complexities, exposing a mere 30% success rate on complex cross‑scene tasks.

AIAgentLLM
0 likes · 14 min read
Introducing VitaBench: A Real-World Agent Benchmark That Reveals a 30% Success Gap