Author

Chong Peng

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Preprint Aug 2026

Noise Floor Audit for Agent Benchmarks

We audit measurement variability for 3 native tool-calling endpoints across 2 providers on the official BFCL multiple and parallel categories, using matched AST grading. At temperature 0, reruns are nearly deterministic across Groq endpoints and a thinking-enabled Gemini setting: ever-flip fractions are 0.7%, 2.0%, and...

Yi-Hang Chen, Pinyan Qian, Su Wang et al. · 0 citations

Jul 2026

When Should Active RAG Retrieve? A Budget-Aware Evaluation of Utility, Calibration, and Cost

Budget-aware evaluation for Active RAG evaluation is studied by recasting active retrieval as utility estimation, where retrieval is valuable only through its marginal correctness change over a no-retrieval answer.

Pinyan Qian, Su Wang, Chong Peng et al. · arXiv.org · 3 citations · ⚡1

Preprint Aug 2026

BAP-SQL: Budget-Aware Observation Planning for Agentic Text-to-SQL

BAP-SQL is presented, which treats observation formation as a budget-control stage: it estimates query risk, rewrites SQL when useful, and delegates hard limits to an independent runtime shield and improves tight-budget success.

Chong Peng, Pinyan Qian, Su Wang et al. · 2 citations

Preprint Aug 2026

Explicit State Elicitation Is Not Enough: A Controlled Audit of Memory-Policy Classification

Family-level and seed-stability analyses show that example-level accuracy overstates counterfactual consistency: complete four-way family success is rare, and an exploratory follow-up that elicits decomposed semantic evidence fails to improve routing for the cleanly evaluated endpoint.

Yi-Hang Chen, Pinyan Qian, Su Wang et al. · 0 citations