LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients

Egor Fadeev, Dzhambulat Mollaev, Aleksei Shestov +6

Learning clients embeddings from sequences of their historic communications is central to financial applications. While large language models (LLMs) offer general world knowledge,…