Papers by Guy Hadad

1 papers
HotelQuEST: Balancing Quality and Efficiency in Agentic Search (2026.eacl-industry)

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Challenge: Existing benchmarks for agentic search focus primarily on answer quality, overlooking efficiency factors that are critical for real-world deployment.
Approach: They propose a benchmark for hotel search queries that includes 214 hotel query queries that range from simple factual requests to complex queries.
Outcome: The proposed benchmarks show that LLM-based agents achieve higher accuracy than traditional retrievers, but at substantially higher costs due to redundant tool calls and suboptimal routing that fails to match query complexity to model capability.

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