Autonomous Research for Open-Ended Problems: A Case Study on Telecom Ticket Retrieval
This paper explores how autonomous research can be adapted to solve open-ended, industry-grade ML problems, by considering a case study: telecom ticket retrieval, an open-ended task with degrees of freedom in representation, architecture, and training data generation and discovers that autonomous research for open-ende...