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Author

Umesh Bodhwani

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2 papers indexed here

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#machine learning Conference Open access Sep 2026

GAUGE: When Not to Trust LLM-as-a-Judge in User-Simulated Evaluation of Task-Oriented Agents

GAUGE is introduced, a reusable offline protocol that measures whether this gate's ranking matches a grounded verifiable reward across 25 agents from six providers on the $\tau^2$-bench and SimulatorArena benchmarks, separating two kinds of evaluation validity that release practices conflate: ranking validity and const...

Umesh Bodhwani, Thanh Tran, Kai-Lin Wei · 4 citations
#natural language process... Open access Sep 2026

A Calibrated Reflection Approach for Enhancing Confidence Estimation in LLMs

A Calibrated Reflection approach for enhancing confidence estimation in LLMs, a framework that combines structured reasoning with distance-aware calibration technique and a distance-aware calibration technique that accounts for ordinal relationships between labels is presented.

Umesh Bodhwani, Yuan Ling, Shujing Dong et al. · 6 citations · ⚡1

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