Autonomous Research for Open-Ended Problems: A Case Study on Telecom Ticket Retrieval

Can AI research agents handle a messy, open-ended industry problem? This study put them on telecom ticket retrieval. With little supervision they reached 90% of the best human result in 10 weeks instead of 10 months, at up to $200 a run. They were good at tuning but short on intuition, and the authors recommend pairing them with human researchers. Authors: Junghyun Min, Huseyin Uzunalioglu, Mohamed Trabelsi Paper: https://arxiv.org/abs/2609.13073v1