From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review

Understand

Large language models and autonomous AI agents have evolved rapidly, resulting in a diverse array of evaluation benchmarks, frameworks, and collaboration protocols.

• Driven by the growing need for standardized evaluation and integration, we systematically consolidate these fragmented efforts into a unified framework.
• However, the landscape remains fragmented and lacks a unified taxonomy or comprehensive survey.
• Therefore, we present a side-by-side comparison of benchmarks developed between 2019 and 2025 that evaluate these models and agents across multiple domains.