AI RESEARCH
Probe-then-Plan: Environment-Aware Planning for Industrial E-commerce Search
arXiv CS.AI
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ArXi:2603.15262v1 Announce Type: new Modern e-commerce search is evolving to resolve complex user intents. While Large Language Models (LLMs) offer strong reasoning, existing LLM-based paradigms face a fundamental blindness-latency dilemma: query rewriting is agnostic to retrieval capabilities and real-time inventory, yielding invalid plans; conversely, deep search agents rely on iterative tool calls and reflection, incurring seconds of latency incompatible with industrial sub-second budgets.