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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

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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-AvatarVideo Generation

0 likes · 9 min read

Meituan Technology Team

May 14, 2026 · Artificial Intelligence

General 365: Meituan LongCat’s Open‑Source Benchmark Redefines LLM Reasoning Evaluation

The General 365 benchmark, built from 365 original seed questions and 1,095 variants across eight reasoning challenges, reveals that most mainstream large language models struggle with everyday logical tasks, achieving at most 62.8% accuracy and requiring far more tokens than on traditional subject‑specific tests.

AI reasoningGeneral 365LLM evaluation

0 likes · 9 min read

General 365: Meituan LongCat’s Open‑Source Benchmark Redefines LLM Reasoning Evaluation

Meituan Technology Team

May 7, 2026 · R&D Management

Managing AI‑Generated Code with Agent‑Based Evaluation: Refactoring 310K Lines of Code

When over 90% of a codebase is produced by AI, system quality hinges on constraining AI rather than speed, and this article details how a team used an agent‑based evaluation framework, unified standards, and incremental refactoring to turn 310,000 lines of AI‑written code into a maintainable, low‑debt system.

AI codingAI governanceAgent Evaluation

0 likes · 21 min read

Managing AI‑Generated Code with Agent‑Based Evaluation: Refactoring 310K Lines of Code

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.

Embodied AIVision-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

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 GenerationOpen Source

0 likes · 12 min read

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

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

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

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 ModelOpen Source

0 likes · 14 min read

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

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 agentComputer UseOSWorld

0 likes · 27 min read

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

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