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Evidence record 17919 · automatically gathered

FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings

Financial question answering is typically evaluated by answer correctness, yet in SEC filings a plausible and even numerically correct answer can be grounded in the wrong evidence. Similar facts and disclosures recur across sections of a filing, across reporting periods of the same firm, and across comparable firms. FinRank targets this provenance-sensitive retrieval problem by requiring systems to identify evidence for the intended entity, reporting period, and disclosure context. The benchmark

Record details

Published: 7 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Transparency
Retrieved: 10 August 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

Shared topic: Transparency

Assessing AI-generated music detection in real-world broadcast monitoring

arXiv · 7 August 2026

Shared topic: Transparency

An End-to-End Agent Auditing Engine

arXiv cs.AI · 7 August 2026

Shared topic: Transparency

Beyond the Black Box: Interpretable Models of Human Randomisation Failures

arXiv cs.AI · 7 August 2026

Shared topic: Transparency

Evidence-RL: Towards Evidence-intensive Visual Reasoning

HuggingFace Daily Papers · 7 August 2026

Shared topic: Transparency

Human-Centered Explainable AI for TinyML Edge Devices: A Pareto-Based Selection Framework with LLM-Guided Design

arXiv cs.HC · 7 August 2026

Shared topic: Transparency

Soft Redaction of Image Provenance via Zero-Knowledge Proofs

arXiv · 7 August 2026

How to cite this record

ethics.ai (7 August 2026), “FinRank: An Evidence-Grounded Benchmark for Financial Question Answering and Retrieval over SEC Filings,” evidence record 17919, https://ethics.ai/record/17919 (originally published by arXiv cs.AI).

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