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cs.CV2026
CRoPS: A Training-Free Hallucination Mitigation Framework for Vision-Language Models
Neeraj Anand, Samyak Jha, Udbhav Bamba +1
Despite the rapid success of Large Vision-Language Models (LVLMs), a persistent challenge is their tendency to generate hallucinated content, undermining reliability in real-world…
cs.CV2025
AFRAgent : An Adaptive Feature Renormalization Based High Resolution Aware GUI agent
Neeraj Anand, Rishabh Jain, Sohan Patnaik +2
There is a growing demand for mobile user interface (UI) automation, driven by its broad applications across industries. With the advent of visual language models (VLMs), GUI autom…
cs.CV2022
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning
Udbhav Bamba, Neeraj Anand, Saksham Aggarwal +2
Binarization is a powerful compression technique for neural networks, significantly reducing FLOPs, but often results in a significant drop in model performance. To address this is…