AI RESEARCH
BADGER: Bridging Agentic and Deterministic Evaluation for Generative Enterprise Reasoning
arXiv CS.AI
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ArXi:2606.02109v1 Announce Type: new Enterprise AI systems that translate natural language into SQL queries and orchestrate multi-step agentic reasoning pipelines require evaluation approaches fundamentally different from academic benchmarks. Spider and BIRD established execution-accuracy protocols; G-Eval and RAGAS advanced LLM-based assessment; and recent work such as Spider 2.0, BEAVER, and BIRD-Interact has begun to address enterprise and agentic dimensions.