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

Min, Junghyun et al.
arXiv (OAI Expanded) · Papers
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information-retrieval
Recent breakthroughs in LLM-based systems and their abilities in problem solving and coding have allowed progress in the AI for Science paradigm, potentially replacing human roles in machine learning (ML) research. However, while several frameworks of fully autonomous end-to-end ML research have bee
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