LLM

Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management

LLMs are emerging tools for simulating human behavior in business, economics, and social science, offering a lower‑cost complement to laboratory experiments, field studies, and …

Runze Zhang

• Nov 25, 2025 • 1 min read

Multi-Agent System

AgentGit: A Version Control Framework for Reliable and Scalable LLM-Powered Multi-Agent Systems

With the rapid progress of large language models (LLMs), LLM-powered multi-agent systems (MAS) are drawing increasing interest across academia and industry. However, many current …

yang-li

• Nov 2, 2025 • 1 min read

Multi-Agent System

Hierarchical AI Multi-Agent Fundamental Investing: Evidence from China’s A‑Share Market

We present a multi-agent, AI-driven framework for fundamental investing that integrates macro indicators, industry-level and firm-specific information to construct optimized equity …

chujun-he

• Oct 1, 2025 • 1 min read

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LLM

Predicting Effects, Missing Distributions: Evaluating LLMs as Human Behavior Simulators in Operations Management

AgentGit: A Version Control Framework for Reliable and Scalable LLM-Powered Multi-Agent Systems

Hierarchical AI Multi-Agent Fundamental Investing: Evidence from China’s A‑Share Market