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2 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

1995Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI), vol. 2, pp. 1137-1143

A study of cross-validation and bootstrap for accuracy estimation and model selection

Ron Kohavi

Finding: 10-fold cross-validation generally offers a good bias-variance trade-off and is often the best choice.

cross-validation model evaluation