4 papers
Open-DeBias: Toward Mitigating Open-Set Bias in Language Models
Arti Rani, Shweta Singh, Nihar Ranjan Sahoo +1
Large Language Models (LLMs) have achieved remarkable success on question answering (QA) tasks, yet they often encode harmful biases that compromise fairness and trustworthiness. M…
MSAD-Net: Multiscale and Spatial Attention-based Dense Network for Lung Cancer Classification
Santanu Roy, Shweta Singh, Palak Sahu +2
Lung cancer, a severe form of malignant tumor that originates in the tissues of the lungs, can be fatal if not detected in its early stages. It ranks among the top causes of cancer…
IPO: Your Language Model is Secretly a Preference Classifier
Shivank Garg, Ayush Singh, Shweta Singh +1
Reinforcement learning from human feedback (RLHF) has emerged as the primary method for aligning large language models (LLMs) with human preferences. While it enables LLMs to achie…
SKIPNet: Spatial Attention Skip Connections for Enhanced Brain Tumor Classification
Khush Mendiratta, Shweta Singh, Pratik Chattopadhyay
Early detection of brain tumors through magnetic resonance imaging (MRI) is essential for timely treatment, yet access to diagnostic facilities remains limited in remote areas. Gli…