Financial LLM Agents Need Better Memory to Handle Market Complexity

Framework optimizes LLM guardrails for evidence documents in dispute workflows

HQ arXiv: AI + Accounting arXiv · yesterday · 1 min read

Production study demonstrates HOPM framework for auditable, evidence-grounded document generation in marketplace disputes—bridging AI reliability with accounting/compliance audit trails.

LLMs struggle with financial math; researchers propose data-centric fix for Q...

HQ arXiv: AI + Accounting arXiv · 3d ago · 1 min read

Researchers address numerical hallucinations in LLM-powered financial Q&A systems via data-centric compilation, improving reliability for high-stakes accounting applications where accuracy is criti...

New benchmark tests LLMs on financial statement verification accuracy

HQ arXiv: AI + Accounting arXiv · 4d ago · 1 min read

FinVerBench evaluates 15 LLMs on numerical consistency checks in SEC 10-K filings, introducing error taxonomy across arithmetic, linkage, and magnitude categories to measure AI readiness for financ...

Agentic AI pipeline reduces hallucinations via semantic caching and nested le...

HQ arXiv: AI + Accounting arXiv · 5d ago · 1 min read

Research on HOPE-inspired nested learning with semantic caching cuts LLM hallucinations in multi-agent pipelines, critical for reliable accounting automation systems.

Researchers propose neuro-symbolic verification to catch LLM hallucinations i...

arXiv: AI + Accounting arXiv · 6d ago · 1 min read

Academic paper presents hybrid formal logic + neural method to verify LLM outputs in high-stakes domains like accounting, addressing hallucinations and consistency risks.