by AISmithLab · AI 工具 · ★ 14
HumanStudy-Bench: Towards AI Agent Design for Participant Simulation LLMs are increasingly used to simulate human participants in social science research, but existing evaluations conflate base model capabilities with agent design choices, making it unclear whether results reflect the model or the configuration.
| Stars | 14 |
| Forks | 3 |
| Language | Python |
| Category | AI 工具 |
| License | MIT |
| Quality Score | 37.25/100 |
| Last Updated | 2026-03-20 |
| Created | 2026-01-31 |
| Platforms | python |
| Est. Tokens | ~1709k |
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HumanStudy-Bench is HumanStudy-Bench: Towards AI Agent Design for Participant Simulation. It is categorized as a AI 工具 with 14 GitHub stars.
HumanStudy-Bench is primarily written in Python. It covers topics such as agent-design, ai-agent, ai-for-science.
You can find installation instructions and usage details in the HumanStudy-Bench GitHub repository at github.com/AISmithLab/HumanStudy-Bench. The project has 14 stars and 3 forks, indicating an active community.
HumanStudy-Bench is released under the MIT license, making it free to use and modify according to the license terms.