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3 papers

2023arXiv preprint arXiv:2307.13854, presented at NeurIPS 2023

WebArena: A Realistic Web Environment for Building Autonomous Agents

Shunyu Yao, Dian Yu, Jason Wei, Yonghui Wu, Nan Du, Izhak Shafran, Karthik Narasimhan

Finding: Results show that LLM-based agents (like GPT-4) can successfully complete about 40% of tasks, which is a significant achievement, but still far from human performance (~90%).

autonomous agents web environment

2022Advances in Neural Information Processing Systems (NeurIPS) 2022, arXiv:2201.11903

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Ed H. Chi, Jason Wei, Quoc V. Le, Fei Xia, Denny Zhou, Xuezhi Wang, Dale Schuurmans, Brian Ichter, Maarten Bosma

Finding: This method significantly improved accuracy on math, logical reasoning, and complex QA tasks, even for smaller models.

chain-of-thought reasoning

2022arXiv:2210.03629, DOI: 10.48550/arXiv.2210.03629

ReAct: Synergizing Reasoning and Acting in Language Models

Jeffrey Zhao, Dian Yu, Shunyu Yao

Finding: ReAct outperformed prior methods on interactive decision-making tasks and improved human interpretability and trustworthiness.

ReAct function calling