FinFIRST benchmark tests agents on real financial research: source discovery, evidence selection and math
alifcoder · x · 2026-09-05
FinFIRST, a new benchmark built with finance experts, evaluates AI agents on the full workflow of real financial research rather than just final answers.
Using atomic rubrics, it scores both answers and evidence quality across:
- Source discovery and information retrieval
- Evidence selection and reliability judgment
- Multi-source integration
- Timely real-world tasks and calculations
- Verifiability of results
The author calls it a benchmark designed for actual work, and it has drawn notable interest since release.
Related event: FinFIRST Benchmark Launches to Evaluate Financial Agents End-to-End(2 posts)→
More from Research
- First-ever in-body prime editing treatment injected into a human — basedjensen · 2026-10-23
- A classic world model (s, a → s′) acting as a neural MuJoCo simulator — yshan2u · 2026-10-23
- Gen-HumanWholeBody: open 600-hour whole-body manipulation dataset for robots — AdinaYakup · 2026-10-23
- DynaVelo, a neural ODE model of single-cell dynamics, published in Nature Biotechnology — anshulkundaje · 2026-10-23
- 120-case memory benchmark: Hy-Memory hits 100% recall but fails all 44 empty-output cases — stevyhacker · 2026-10-23
- SplatLab: an autonomous AI scientist that runs 3DGS research end to end — UCSanDiego · 2026-10-23