xinlan-technology/terminal-bench-science
Terminal-Bench-Science: Evaluating AI Agents on Complex Real-World Scientific Workflows in the Terminal
Postdoctoral Scholar at CSIS, Michigan State University | Postdoctoral Fellow at CIGLR, University of Michigan
Repositories
xinlan-technology/HydroTuring
Does your AI hydrologic model conserve mass, energy and momentum?
xinlan-technology/xinlan-technology
Source and assets for my GitHub profile README
xinlan-technology/hurricane_wind_radius_analysis
Deep learning for hurricane wind radius prediction
xinlan-technology/usgs-streamflow-drought
xinlan-technology/ai_assist_review_platform
xinlan-technology/region-carbon-info
Carbon characteristics of Google Cloud regions
xinlan-technology/terminal-bench-3
🚧 Accepting Task Submissions 🚧
xinlan-technology/static-dynamic-lake-model
Lake-aware deep learning for lake water temperature
xinlan-technology/process_guided_deep_learning
Process-guided deep learning for lake water temperature prediction
xinlan-technology/water_system_consolidation
Geospatial clustering for California water system consolidation analysis
xinlan-technology/QuantitativeFinance-Bench
QF-Bench (QuantitativeFinance-Bench) is a state-aware financial agent benchmark.
xinlan-technology/skillsbench
SkillsBench evaluates how well skills work and how effective agents are at using them
xinlan-technology/terminal-bench
A benchmark for LLMs on complicated tasks in the terminal