Author

Deepak Parashar

h-index 2 View on Semantic Scholar

We have 3 of 12 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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

Open access 2026

FMFT: A Memory-Augmented Multi-Feature Fusion Transformer Enhanced With Retrieval Augmented Graph-Based Few-Shot Learning

This work proposes a Few-Shot Memory Fusion Transformer (FMFT), a memory-augmented, multi-feature-fusion transformer enhanced with the Retrieval-Augmented Graph (RAG) and Few-Shot learning that significantly outperforms competitive baselines in both full-resource and few-shot scenarios.

S. Chauhan, Shefali Saxena, Shweta V. Jain et al. · IEEE Access · 0 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