Author

Rohith Reddy Bellibatlu

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Preprint Sep 2026

Instability Floors: Separating Bias from Noise in Fairness Audits of Clinical LLM Agents with FairMedAgent

Counterfactual fairness audits of clinical language-model agents report a flip rate: how often an action changes when only the patient's demographic descriptor changes. Part of that rate is not demographic. A stochastic agent also changes its own action when nothing changes, and a flip rate cannot be interpreted withou...

Rohith Reddy Bellibatlu, Manpreet Singh, Deepak Parashar et al. · 0 citations

#natural language process... Apr 2026

JudgeSense: A Benchmark for Prompt Sensitivity in LLM-as-a-Judge Systems

Whether a judge returns the same verdict when the same request is worded differently remains largely unexamined, so decoding noise is not charged to wording, and the release lets a reader ask the same of any judge not in the roster.

Rohith Reddy Bellibatlu, Edward Raff, Wen-Bin Zhang · arXiv.org · 11 citations

#machine learning Preprint Sep 2026

Counterfactual Fairness Audits of Multi-Step Clinical LLM Agents Require a Measured Per-Action Instability Floor

Counterfactual audits are the standard tool for checking whether a clinical agent treats demographically distinct but clinically identical patients differently. They report a flip rate: how often an action changes when only the patient descriptor changes. We show that this quantity is uninterpretable on its own. Re-run...

Rohith Reddy Bellibatlu, Manpreet Singh, Deepak Parashar et al. · 0 citations