Author

S. Kulkarni

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#artificial intelligence Preprint Sep 2026

MaD-RL: Matching Distributions for Calibrating LLMs with Reinforcement Learning

This work proposes a general RL-based framework for Distribution Matching allowing matching the distribution of a latent categorical attribute of model outputs to a specified target distribution and proposes reward functions for other divergences such as KL and Jensen-Shannon and motivate them with theoretical justific...

Sourabh Kulkarni, Ksheeraj Sai Vepuri, B. Demir et al. · 0 citations

Preprint Aug 2026

TRAPSBench: Vision-Language Models Encode but Fail to Express Epistemic Restraint

When visual evidence is occluded or chaotic, models should abstain. In this paper, we show that Vision-Language Models (VLMs) can internally distinguish when abstention is required, but fail to express it anyway. We introduce TRAPSBench, a procedurally generated video benchmark of 1,404 matched physics pairs in which a...

Fnu Pramono, J. Cai, Sourabh Kulkarni · 3 citations · ⚡1