Multi-agent pipeline brings auditable AI to financial chart analysis
AgentFinVQA combines on-premise deployability with auditability for financial chart QA, addressing regulated auditors' need for explainable AI without accuracy compromise.
The Wire — Page 2
14 more from arXiv: AI + Accounting
Stanford releases open-source SEC filings dataset for LLM training
Stanford researchers release SEFD, a layout-faithful, open-source dataset of 4.4M SEC filings reconstructed into MultiMarkdown format for pretraining financial LLMs at scale.
Stanford releases open SEC filings dataset for LLM pretraining
Stanford researchers publish SEFD, an open-source dataset reconstructing SEC EDGAR filings into layout-faithful MultiMarkdown to address scarcity of high-quality long-context training data for fina...
AI Security Agent Detects Fraud and AML Violations Across Banking Channels
Research paper proposes multi-vector AI agent for banks to detect both signature-based fraud (card attacks, account takeover) and behavioral financial crime (structuring, BEC, money laundering) sim...
Agentic AI offers controlled automation path for SMB accounting workflows
arXiv paper argues agentic AI can reduce administrative burden and accelerate routine processes for small-to-medium companies through multi-step task planning and enterprise system integration.
Verifiable data-analytic agents improve auditability of LLM reasoning
Researchers propose VeriGraph, a framework to make LLM-based agents' outputs auditable by separating deterministic data computations from semantic reasoning, addressing a key challenge for accounti...
Researchers propose risk-pricing model for autonomous AI agents in business o...
Academic paper quantifies autonomous AI agent failure risk through trace-level underwriting to enable profitable, insurable deployment in operational systems including accounting workflows.
Mojo language targets reproducibility gap in quantitative finance systems
Mojo, Modular's Python-like systems language, addresses the 30-year 'two-language tax' in quantitative finance where Python research models are rewritten in C++ for production, introducing numerica...
Green SARC framework controls costs and emissions in agentic AI systems
Researchers propose Green SARC, a governance framework that enforces financial and environmental cost controls within agentic AI loops before execution, addressing runaway spending in multi-agent s...
New Framework Secures AI Agents Controlling Production Accounting Systems
Researchers propose Sovereign Assurance Boundary (SAB), a certificate-based control system for AI agents managing high-stakes financial infrastructure, addressing audit and authorization gaps in no...
Trace2Policy: AI agents learn audit rules from expert behavior traces
Researchers introduce Trace2Policy, an AI system that extracts tacit decision rules from audit and compliance experts, then iteratively refines them through error analysis—automating expert judgmen...
DeepSeek-R1 Model Trained for Financial Entity Recognition in Reports
Researchers fine-tune DeepSeek-R1-8B with LoRA and NEFTune to improve financial named-entity recognition, enabling better extraction of structured data from unstructured reports and news for knowle...
Research on multi-agent protocols for operational AI in regulated workflows
ArXiv paper on Collaborative Human-Agent Protocol (CHAP) for managing multi-human, multi-agent systems in production—relevant to accounting firms deploying AI agents across audit, tax, and complian...
Researchers tackle silent scope omission in policy-following AI agents
Academic paper proposes deontic trees to help AI agents correctly parse nested exceptions in regulations, addressing failures where systems appear compliant but miss critical edge cases in tax, aud...
DuMate-DeepResearch system tackles auditable multi-agent reasoning for comple...
New multi-agent framework DuMate-DeepResearch addresses hallucination and verification challenges in deep research tasks through recursive search and rubric-grounded reasoning, with direct applicat...
Open spec for AI agent decision logging aims to boost audit transparency
AATF proposes open standard for recording AI agent reasoning to enable audit trails and explainability—critical for accounting firms deploying autonomous AI systems.
2 more from HN: Accounting & AI
Audit checklists for AI coding agents proposed across languages
Software engineer proposes 30-item audit checklist for validating AI-generated code across programming languages, addressing quality and safety concerns in agent-driven development.
Python tool automates AI model due diligence and supply-chain audits
Model Due Diligence, a new open-source CLI tool, enables static evidence-gathering for AI model provenance, integrity, and risk detection—relevant to accounting firms auditing AI systems and AI-dri...
Tax practitioners double AI research adoption, spurring alternative billing m...
Tax professionals' AI usage for research nearly doubled year-over-year, prompting exploration of new billing approaches beyond traditional hourly rates.
1 more from Accounting Today
AICPA, CIMA map accounting's future with Rise2040 report
AICPA and CIMA's Rise2040 report outlines major changes ahead for the accounting profession, likely including automation and AI adoption—but lacks specific details on agentic AI or concrete technol...