Datasets for large language models: A comprehensive survey
This paper embarks on an exploration into the Large Language Model (LLM) datasets,
which play a crucial role in the remarkable advancements of LLMs. The datasets serve as …
which play a crucial role in the remarkable advancements of LLMs. The datasets serve as …
A survey of large language models for financial applications: Progress, prospects and challenges
Recent advances in large language models (LLMs) have unlocked novel opportunities for
machine learning applications in the financial domain. These models have demonstrated …
machine learning applications in the financial domain. These models have demonstrated …
Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making
Large language models (LLMs) have demonstrated notable potential in conducting complex
tasks and are increasingly utilized in various financial applications. However, high-quality …
tasks and are increasingly utilized in various financial applications. However, high-quality …
A survey on large language models for critical societal domains: Finance, healthcare, and law
In the fast-evolving domain of artificial intelligence, large language models (LLMs) such as
GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law …
GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law …
Open-finllms: Open multimodal large language models for financial applications
Large language models (LLMs) have advanced financial applications, yet they often lack
sufficient financial knowledge and struggle with tasks involving multi-modal inputs like tables …
sufficient financial knowledge and struggle with tasks involving multi-modal inputs like tables …
Xbrl agent: Leveraging large language models for financial report analysis
eXtensible Business Reporting Language (XBRL) has attained the status of the global de
facto standard for business reporting. However, its complexity poses significant barriers to …
facto standard for business reporting. However, its complexity poses significant barriers to …
DocMath-eval: Evaluating math reasoning capabilities of LLMs in understanding long and specialized documents
Recent LLMs have demonstrated remarkable performance in solving exam-like math word
problems. However, the degree to which these numerical reasoning skills are effective in …
problems. However, the degree to which these numerical reasoning skills are effective in …
No language is an island: Unifying chinese and english in financial large language models, instruction data, and benchmarks
While the progression of Large Language Models (LLMs) has notably propelled financial
analysis, their application has largely been confined to singular language realms, leaving …
analysis, their application has largely been confined to singular language realms, leaving …
Peer review as a multi-turn and long-context dialogue with role-based interactions
Large Language Models (LLMs) have demonstrated wide-ranging applications across
various fields and have shown significant potential in the academic peer-review process …
various fields and have shown significant potential in the academic peer-review process …
Financemath: Knowledge-intensive math reasoning in finance domains
We introduce FinanceMath, a novel benchmark designed to evaluate LLMs' capabilities in
solving knowledge-intensive math reasoning problems. Compared to prior works, this study …
solving knowledge-intensive math reasoning problems. Compared to prior works, this study …