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Why It Matters
Search quality evaluation provides essential supervision and diagnostic signals for the development and iteration of industrial search systems.
Provenance
Discovered via ArXiv and published by ArXiv.
Key Claims
Original description
Search quality evaluation provides essential supervision and diagnostic signals for the development and iteration of industrial search systems. Although large language models (LLMs) offer a scalable alternative to manual assessment, reliable automatic evaluation remains challenging: users experience search results at the page level, while the applicable evaluation criteria are multi-dimensional and continuously evolving. Packing all evaluation criteria into a unified prompt introduces irrelevant context and potential criterion interference, whereas internalizing them through post-training tigh...
Discovered via ArXiv
Research papers and preprints from arXiv.
Publisher: arxiv.org
ID: http://arxiv.org/abs/2609.29803v1 · Indexed about 1 hour ago