In the news
FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- FinRank benchmark released for evaluating financial question answering over SEC filings, containing 1185 manually authored question-answer records with curated hard negatives.
- Why it matters
- Matters for engineers building financial AI systems that must retrieve correct evidence from SEC documents, not just numerically correct answers.
- Watch out
- Baseline results show current systems struggle significantly; even large embedders reach only 44.8% recall, suggesting the task is harder than typical retrieval benchmarks.
Listen to this summary
- retrieval
- eval
- benchmark
The patterns behind this
- Query Transformation Retrieval
- Eval-Driven Development (Agent CI)
- Hierarchical Index Retrieval (RAPTOR)
Each one covers how the technique works, when it earns its cost, and where it breaks.
The Agent Architect
One pattern, one tradeoff, one production failure story. A short weekly briefing for people building agentic systems.
Weekly email, one-click unsubscribe. We only use your address to send the briefing.