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Single-Token Expected-Value Scoring for Cold-Start Candidate Ranking

Wang, Qihang et al.
arXiv (All) · Papers
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information-retrieval
AI-assisted sourcing streamlines candidate review, reducing the administrative burden of manual screening for recruiters. However, deploying language models as production rankers remains challenging. Zero-shot Large Language Models (LLMs) may produce unstable, non-deterministic scores and rank less
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