For a long time, researchers have sought artificial intelligence (AI) that matches or exceeds
human intelligence. AI agents, which are artificial entities capable of sensing the …

Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

Large Language Model (LLM)-based agents have shown effectiveness across many
applications. However, their use in data science scenarios requiring solving long-term …

Abstract The emergence of Large Language Models (LLMs) like ChatGPT has inspired the
development of LLM-based agents capable of addressing complex, real-world tasks …

Recently, Large Language Model based Autonomous System (LLMAS) has gained great
popularity for its potential to simulate complicated behaviors of human societies. One of its …

Large Language Models (LLMs) have demonstrated great potential in complex reasoning
tasks, yet they fall short when tackling more sophisticated challenges, especially when …

Recently, large language models (LLMs) like ChatGPT, LLaMA, and Claude have prevailed
in countless domains, including legal scenarios. With LLMs' rapid technological progress …

The potential of automatic task-solving through Large Language Model (LLM)-based multi-
agent collaboration has recently garnered widespread attention from both the research …

We introduce DA-Code, a code generation benchmark specifically designed to assess LLMs
on agent-based data science tasks. This benchmark features three core elements: First, the …

Recently, there has been increasing interest in using Large Language Models (LLMs) to
construct complex multi-agent systems to perform tasks such as compiling literature reviews …