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FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents

Hugging Face Daily Papers · 2026-06-10 Cached

FORT-Searcher introduces a framework for synthesizing shortcut-resistant training data for deep search agents by identifying and mitigating four shortcut risks. The resulting agent, trained via supervised fine-tuning, achieves state-of-the-art performance among comparable open-source search agents.

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