Utkarsh Grover

According to our database, Utkarsh Grover authored at least 7 papers in 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

FAM-Bench: A Multimodal Benchmark for Condition-Aware Food-as-Medicine Reasoning.

Mingyang Mao, Bhargav Rishi Medisetti, Utkarsh Grover, Tanvir Ibrahim, Wenyan Li, Tingting Zhang, Xiaomin Lin

CoRR, May, 2026

PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs.

Ravi Ranjan, Utkarsh Grover, Xiaomin Lin, Agoritsa Polyzou

CoRR, May, 2026

G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs.

Ravi Ranjan, Utkarsh Grover, Xiaomin Lin, Agoritsa Polyzou

CoRR, April, 2026

CatRAG: Functor-Guided Structural Debiasing with Retrieval Augmentation for Fair LLMs.

Ravi Ranjan, Utkarsh Grover, Mayur Akewar, Xiaomin Lin, Agoritsa Polyzou

CoRR, March, 2026

Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies.

Utkarsh Grover, Ravi Ranjan, Mingyang Mao, Trung Tien Dong, Satvik Praveen, Zhenqi Wu, J. Morris Chang, Tinoosh Mohsenin, Yi Sheng, Agoritsa Polyzou, Eiman Kanjo, Xiaomin Lin

CoRR, March, 2026

RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion Models.

Ravi Ranjan, Utkarsh Grover, Xiaomin Lin, Agoritsa Polyzou

CoRR, March, 2026

Position: LLMs Must Use Functor-Based and RAG-Driven Bias Mitigation for Fairness.

Ravi Ranjan, Utkarsh Grover, Agorista Polyzou

CoRR, March, 2026