Think-like-LSTM: Memory-Augmented Large Language Models via Dynamic Fine-Tuning for Financial Risk Assessment
Financial risk assessment (FRA) seeks to forecast the likelihood of user default based on transaction sequences, which are inherently sequential and enriched with textual attributes. Despite the remarkable potential of large language models (LLMs) in sequential modeling and semantic understanding, developing LLM-based...