finance ↔ Large Language Models

Relations (1)

related 0.90 — strongly supporting 9 facts

Large Language Models (LLMs) are integrated into finance for applications like risk assessment, fraud detection, and real-time decision-making [1][2][3], but face challenges such as lacking determinism in regulated financial processes [4] and hallucinations that risk generating fake market data or errors in regulatory reporting [5][6][7].

Facts (9)

Sources

A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer 2 facts

claimThe integration of knowledge graphs with LLMs enhances diagnostic tools and personalized medicine in healthcare, improves risk assessment and fraud detection in finance, and enhances recommendation engines and customer service in e-commerce.

claimThe integration of Large Language Models (LLMs) and Knowledge Graphs (KGs) supports advanced applications in healthcare, finance, and e-commerce by enabling real-time data analysis and decision-making processes.

A Knowledge Graph-Based Hallucination Benchmark for Evaluating ... arxiv.org arXiv 1 fact

referenceThe paper 'Large language models in finance: a survey' is a cited reference regarding large language models in the financial domain.

Medical Hallucination in Foundation Models and Their ... medrxiv.org medRxiv 1 fact

claimHallucination or confabulation in Large Language Models is a concern across various domains, including finance, legal, code generation, and education.

KG-RAG: Bridging the Gap Between Knowledge and Creativity - arXiv arxiv.org arXiv 1 fact

claimLarge Language Models are being utilized in intelligent agent systems for applications in medicine and finance, with notable frameworks including Langchain and LlamaIndex.

A Benchmark for Hallucination Detection in Financial Long-Context QA neurips.cc NeurIPS 1 fact

claimLarge Language Models pose significant risks in high-stakes domains like finance, particularly in regulatory reporting and decision-making, due to their tendency to hallucinate.

Role of Open Source Software in Rise of AI nutanix.com Nutanix 1 fact

claimCurrent large language models (LLMs) lack the level of determinism required by some enterprises, particularly in regulated industries like finance and healthcare, necessitating further model refinement.

Medical Hallucination in Foundation Models and Their Impact on ... medrxiv.org medRxiv 1 fact

claimHallucinations in Large Language Models (LLMs) are documented across multiple domains, including finance, legal, code generation, and education.

The Role of Hallucinations in Large Language Models - CloudThat cloudthat.com CloudThat 1 fact

claimHallucinations in large language models pose risks in high-stakes domains, such as misdiagnosing conditions in healthcare, fabricating legal precedents, generating fake market data in finance, and providing incorrect facts in education.