SemPlan: Benchmarking Structured Semantic Planning for LLM-Based Queries over Enterprise Data
英文标题：SemPlan: Benchmarking Structured Semantic Planning for LLM-Based Queries over Enterprise Data
arXiv:2608.13612v1 Announce Type: new Abstract: Natural-language interfaces to enterprise data must translate underspecified requests into governed, executable behavior while controlling invalid queries, policy failures, cost, and nondeterminism. SemPlan Benchmark evaluates this architectural desig
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arXiv:2608.13612v1 Announce Type: new Abstract: Natural-language interfaces to enterprise data must translate underspecified requests into governed, executable behavior while controlling invalid queries, policy failures, cost, and nondeterminism. SemPlan Benchmark evaluates this architectural desig
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