Meituan Fulfillment AI Team Showcases LLM-Based Agent Technology and Research Breakthroughs at ACL 2026

Key Takeaways

• LLM-Based Agent Architecture: Meituan is focusing on building a comprehensive Agent technology system centered around Large Language Models to empower its fulfillment business.
• Self-Evolving Systems: A primary goal of the team is the construction of an Agent self-evolving operating system designed for long-term operational efficiency.
• Frontier Research Areas: The team is actively researching Continual Pre-Training (CPT), Post-training, Agentic Reinforcement Learning (RL), and multimodal understanding.
• Academic Excellence: Meituan's fulfillment AI team has established a strong presence in the global AI community with dozens of papers published in top conferences like ACL and EMNLP.

In-Depth Analysis

The Strategic Shift to LLM-Based Agent Systems

Meituan's Fulfillment AI Algorithm Team is spearheading a transition toward an Agent-centric technology framework. By leveraging Large Language Models (LLMs) as the foundational intelligence, the team is moving beyond traditional algorithmic approaches to create more dynamic and autonomous systems. This shift is specifically targeted at the fulfillment business, where complex decision-making and real-time adjustments are critical. The core objective is to build an Agent technology system that does not just follow static rules but can adapt to the nuances of delivery and logistics. This involves the creation of a "self-evolving operating system," implying that the AI agents are designed to learn from ongoing operations and improve their performance over time without constant manual intervention.

Core Technical Pillars: From CPT to Agentic RL

The technical depth of Meituan's research is categorized into four major frontier directions. First, Continual Pre-Training (CPT) and Post-training ensure that the underlying models remain updated with the latest data and are fine-tuned for specific fulfillment tasks. Second, the team is heavily invested in Agentic Reinforcement Learning (RL), a specialized field that focuses on training agents to make optimal sequences of decisions in complex environments. This is particularly relevant for fulfillment, where agents must navigate multi-step processes to ensure efficiency. Finally, multimodal understanding allows these agents to process diverse types of data—ranging from text-based instructions to visual information—enhancing their ability to perceive and interact with the physical world of logistics. These research efforts have culminated in dozens of high-quality publications at prestigious venues like ACL and EMNLP, signaling Meituan's commitment to bridging the gap between theoretical AI research and practical industrial application.

Industry Impact

The work presented by Meituan's fulfillment team at ACL 2026 underscores a significant trend in the AI industry: the move from general-purpose LLMs to specialized, autonomous Agents. For the logistics and fulfillment sector, this represents a leap toward fully automated, intelligent operations. By focusing on self-evolving systems, Meituan is setting a benchmark for how large-scale enterprises can maintain AI systems that grow more efficient with use. Furthermore, the integration of Agentic RL and multimodal understanding into a commercial fulfillment framework demonstrates the maturing of these technologies from academic concepts to essential business tools. This research not only enhances Meituan's operational capabilities but also contributes valuable insights to the global AI community regarding the deployment of Agents in high-stakes, real-world environments.

Frequently Asked Questions

Question: What is the primary focus of Meituan's Fulfillment AI Algorithm Team?

The team focuses on building an Agent technology system based on Large Language Models (LLMs) to empower Meituan's fulfillment business and create a self-evolving operating system.

Question: Which specific AI technologies are being researched by the team?

The team is deep-diving into Continual Pre-Training (CPT), Post-training, Agentic Reinforcement Learning (RL), and multimodal understanding.

Question: Where has Meituan published its recent AI research findings?

Meituan has published dozens of high-quality research papers in top-tier international AI conferences, specifically mentioning ACL and EMNLP.