BestHub
Sign in
Meituan Technology Team
Author

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.

649
Articles
0
Likes
301
Views
0
Comments
Recent Articles

Latest from Meituan Technology Team

100 recent articles max
Meituan Technology Team
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.

AIGCMachine LearningMultimodal
0 likes · 9 min read
Q-Eval-100K Dataset and Q-Eval-Score Evaluation Framework for Text-to-Visual Generation
Meituan Technology Team
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.

Academic ResearchArtificial IntelligenceBig Model Technology
0 likes · 4 min read
Big Model Bodu Internship Program
Meituan Technology Team
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.

AILLMMeituan
0 likes · 4 min read
Meituan Tech Team's Selected Papers on Large Language Models and AI (2024-2025)
Meituan Technology Team
Meituan Technology Team
Mar 6, 2025 · Artificial Intelligence

INT8 Quantization and Inference Optimization of DeepSeek R1 Model

Meituan’s search and recommendation team converted the FP8‑only DeepSeek‑R1 model to INT8 by first casting weights to BF16 and then applying block‑wise or channel‑wise quantization, which preserves GSM8K and MMLU accuracy while delivering 33% to 50% higher throughput on A100‑80G GPUs, and they released the SGLang‑based inference scripts and quantized weights publicly, enabling deployment on older NVIDIA hardware without accuracy loss.

DeepSeek-R1GPU deploymentINT8 Quantization
0 likes · 11 min read
INT8 Quantization and Inference Optimization of DeepSeek R1 Model
Meituan Technology Team
Meituan Technology Team
Feb 20, 2025 · Artificial Intelligence

Offline Multi-Agent Reinforcement Learning via In‑Sample Sequential Policy Optimization (InSPO)

The paper introduces InSPO, an offline multi‑agent reinforcement‑learning algorithm that integrates behavior‑regularized Markov games with in‑sample sequential policy updates, using inverse KL divergence and maximum‑entropy regularization to avoid out‑of‑distribution joint actions, improve coordination, and achieve monotonic improvement toward Quantized Response Equilibrium, validated on XOR, bridge, and StarCraft II benchmarks.

StarCraft IIbehavior regularizationbridge game
0 likes · 19 min read
Offline Multi-Agent Reinforcement Learning via In‑Sample Sequential Policy Optimization (InSPO)
Meituan Technology Team
Meituan Technology Team
Feb 13, 2025 · Cloud Computing

Predictive Auto-Scaling System (PASS) for Large-Scale Enterprise Web Applications

This article presents the PASS system, a predictive auto‑scaling solution developed by Meituan and Prof. Chai’s team, detailing the challenges of load forecasting and resource allocation, the ELPA ensemble model, performance modeling, hybrid scaling design, and extensive experiments that show superior QoS guarantees and lower resource costs compared to existing methods.

Cloud ComputingELPAMeituan
0 likes · 26 min read
Predictive Auto-Scaling System (PASS) for Large-Scale Enterprise Web Applications
Meituan Technology Team
Meituan Technology Team
Feb 9, 2025 · Artificial Intelligence

NTIRE 2025 XGC AI-Generated Video Quality Assessment Challenge

The NTIRE 2025 XGC AI‑Generated Video Quality Assessment Challenge, hosted at the CVPR workshop, invites participants to build VQA models that predict mean opinion scores for 34,029 AI‑generated videos created from 4,689 prompts using 14 generation models, with training, validation, and test splits provided as JSON, and submissions evaluated by the average of PLCC and SROCC, while key dates run from February 5 to June 15 2025 and prize money up to $1,200 is offered.

AI VideoCVPRNTIRE
0 likes · 6 min read
NTIRE 2025 XGC AI-Generated Video Quality Assessment Challenge
Meituan Technology Team
Meituan Technology Team
Jan 9, 2025 · Artificial Intelligence

Roundtable Discussion on Embodied Intelligence at Meituan Robot Research Institute 2024 Academic Annual Meeting

At Meituan Robot Research Institute’s 2024 academic meeting, a diverse panel of scholars and entrepreneurs debated the relative importance of hardware and algorithms for embodied intelligence, identified near‑term market niches such as hazardous‑environment and household assistance, projected rapid scaling to thousands of autonomous humanoids, and highlighted safety, mass‑market adoption, and ethical considerations as key challenges.

Artificial IntelligenceEmbodied AIMachine Learning
0 likes · 27 min read
Roundtable Discussion on Embodied Intelligence at Meituan Robot Research Institute 2024 Academic Annual Meeting
Meituan Technology Team
Meituan Technology Team
Jan 2, 2025 · Artificial Intelligence

Meituan Robot Research Institute 2024 Academic Annual Meeting and Low‑Altitude Flight Challenge

The 2024 Meituan Robot Research Institute academic conference in Shenzhen reviewed the institute’s yearly progress, featured scholars debating embodied intelligence and large models, showcased over 40 research collaborations, announced the low‑altitude intelligent flight management challenge winners, and outlined future industry‑academic initiatives.

Digital TwinMeituanacademic conference
0 likes · 8 min read
Meituan Robot Research Institute 2024 Academic Annual Meeting and Low‑Altitude Flight Challenge