[2503.18825] EconEvals: Benchmarks and Litmus Tests for LLM Agents in Unknown Environments
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. arXiv Operational Status Get status notifications via email or slack
[2503.18825] EconEvals: Benchmarks and Litmus Tests for Economic Decision-Making by LLM Agents Skip to main content arXiv is now an independent nonprofit! Learn more × Search arXiv Press Enter to search · Advanced search --> Computer Science > Artificial Intelligence arXiv:2503.18825 (cs) [Submitted on 24 Mar 2025 ( v1 ), last revised 18 Feb 2026 (this version, v4)] Title: EconEvals: Benchmarks and Litmus Tests for Economic Decision-Making by LLM Agents Authors: Sara Fish , Julia Shephard , Minkai Li , Ran I. Shorrer , Yannai A. Gonczarowski View a PDF of the paper titled EconEval
Explore this link on the map →related reading
- Demystifying evals for AI agents \ Anthropicanthropic.com
- [2602.09514] EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economiesarxiv.org
- EconEvals: Benchmarks and Litmus Tests for LLM Agents in Unknown Environmentsarxiv.org
- LLM Powered Autonomous Agents | Lil'Loglilianweng.github.io
- Agent Evaluation: A Detailed Guidecameronrwolfe.substack.com
- LLM Evaluation doesn't need to be complicatedphilschmid.de
- Your AI Product Needs Evals – Hamel's Blog - Hamel Husainhamel.dev
- LLM evaluation: a beginner's guideevidentlyai.com
- LLM-as-a-judge: a complete guide to using LLMs for evaluationsevidentlyai.com
- The bitter lesson of LLM evalsparsed.com
- Building Effective AI Agents \ Anthropicanthropic.com
- PostTrainBenchposttrainbench.com