AINeutralarXiv – CS AI · Mar 25/107
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HotelQuEST: Balancing Quality and Efficiency in Agentic Search
Researchers introduce HotelQuEST, a new benchmark for evaluating agentic search systems that balances quality and efficiency metrics. The study reveals that while LLM-based agents achieve higher accuracy than traditional retrievers, they incur substantially higher costs due to redundant operations and poor optimization.