Conversational Financial Information Retrieval Model (ConFIRM)

arXiv:2310.13001v3 Announce Type: replace-cross
Abstract: With the exponential growth in large language models (LLMs), leveraging their emergent properties for specialized domains like finance merits exploration. However, regulated fields such as finance pose unique constraints, requiring domain-optimized frameworks. We present ConFIRM, an LLM-based conversational financial information retrieval model tailored for query intent classification and knowledge base labeling.
ConFIRM comprises two modules:
1) a method to synthesize finance domain-specific question-answer pairs, and
2) evaluation of parameter efficient fine-tuning approaches for the query …

abstract arxiv classification constraints conversational cs.ai cs.ce cs.cl cs.ir cs.lg domain domains exploration fields finance financial frameworks growth however information knowledge language language models large language large language models llm llms query retrieval type