Zobrazeno 1 - 10
of 200
pro vyhledávání: '"Singh, Ayush"'
Vision Language Models excel in handling a wide range of complex tasks, including Optical Character Recognition (OCR), Visual Question Answering (VQA), and advanced geometric reasoning. However, these models fail to perform well on low-level basic vi
Externí odkaz:
http://arxiv.org/abs/2410.22029
Vision-Language Models (VLMs) have transformed tasks requiring visual and reasoning abilities, such as image retrieval and Visual Question Answering (VQA). Despite their success, VLMs face significant challenges with tasks involving geometric reasoni
Externí odkaz:
http://arxiv.org/abs/2410.05928
Having a clean dataset has been the foundational assumption of most natural language processing (NLP) systems. However, properly written text is rarely found in real-world scenarios and hence, oftentimes invalidates the aforementioned foundational as
Externí odkaz:
http://arxiv.org/abs/2407.08989
Autor:
Vatsal, Shubham, Singh, Ayush
Large language models (LLMs) have shown remarkable performance on many tasks in different domains. However, their performance in closed-book biomedical machine reading comprehension (MRC) has not been evaluated in depth. In this work, we evaluate GPT
Externí odkaz:
http://arxiv.org/abs/2405.18682
The mining of adverse drug events (ADEs) is pivotal in pharmacovigilance, enhancing patient safety by identifying potential risks associated with medications, facilitating early detection of adverse events, and guiding regulatory decision-making. Tra
Externí odkaz:
http://arxiv.org/abs/2405.15766
Electronic health records (EHR) even though a boon for healthcare practitioners, are growing convoluted and longer every day. Sifting around these lengthy EHRs is taxing and becomes a cumbersome part of physician-patient interaction. Several approach
Externí odkaz:
http://arxiv.org/abs/2404.16294
In this paper, our focus lies on the Merton's jump diffusion model, employing jump processes characterized by the compound Poisson process. Our primary objective is to forecast the drift and volatility of the model using a variety of methodologies. W
Externí odkaz:
http://arxiv.org/abs/2405.12988
Health insurance companies have a defined process called prior authorization (PA) which is a health plan cost-control process that requires doctors and other healthcare professionals to get clearance in advance from a health plan before performing a
Externí odkaz:
http://arxiv.org/abs/2402.18419
Autor:
Sahoo, Pranab, Singh, Ayush Kumar, Saha, Sriparna, Jain, Vinija, Mondal, Samrat, Chadha, Aman
Prompt engineering has emerged as an indispensable technique for extending the capabilities of large language models (LLMs) and vision-language models (VLMs). This approach leverages task-specific instructions, known as prompts, to enhance model effi
Externí odkaz:
http://arxiv.org/abs/2402.07927
In this work, we focus on label efficient learning for video action detection. We develop a novel semi-supervised active learning approach which utilizes both labeled as well as unlabeled data along with informative sample selection for action detect
Externí odkaz:
http://arxiv.org/abs/2312.07169