Abstract: The growing volume of unstructured text data in the banking sector has created a need for advanced classification methods to manage customer inquiries efficiently, resulting in faster ...

Abstract: Natural language processing (NLP) has become somewhat well-known because of its many uses; deep neural networks have driven major developments. Still, there are difficulties, especially in ...

Hi Toolathlon team, thanks for creating this benchmark. I like that it focuses on real multi-step tool use instead of single-turn toy calls. I have been exploring a related idea from a different angle ...

This project turns raw text into TF‑IDF features (uni-grams + bi-grams) and trains a linear SVM. The baseline predicts the most frequent class; the tuned model captures discriminative terms across ...