Zobrazeno 1 - 10
of 527
pro vyhledávání: '"Mitra, Prasenjit"'
Autor:
Fu, Ziheng, Mukherjee, Swagato, Lanagan, Michael T., Mitra, Prasenjit, Chawla, Tarun, Narayanan, Ram M.
A Machine Learning (ML) network based on transfer learning and transformer networks is applied to wave propagation models for complex indoor settings. This network is designed to predict signal propagation in environments with a variety of objects, e
Externí odkaz:
http://arxiv.org/abs/2409.13833
Pre-trained language models (PLMs) have attracted enormous attention over the past few years with their unparalleled performances. Meanwhile, the soaring cost to train PLMs as well as their amazing generalizability have jointly contributed to few-sho
Externí odkaz:
http://arxiv.org/abs/2406.04478
Autor:
Rasekh, Ali, Heidari, Reza, Rezaie, Amir Hosein Haji Mohammad, Sedeh, Parsa Sharifi, Ahmadi, Zahra, Mitra, Prasenjit, Nejdl, Wolfgang
With the increasing availability of diverse data types, particularly images and time series data from medical experiments, there is a growing demand for techniques designed to combine various modalities of data effectively. Our motivation comes from
Externí odkaz:
http://arxiv.org/abs/2405.15442
The recent breakthrough in large language models (LLMs) such as ChatGPT has revolutionized production processes at an unprecedented pace. Alongside this progress also comes mounting concerns about LLMs' susceptibility to jailbreaking attacks, which l
Externí odkaz:
http://arxiv.org/abs/2405.14023
Autor:
Zhang, Nan, Liu, Yanchi, Zhao, Xujiang, Cheng, Wei, Bao, Runxue, Zhang, Rui, Mitra, Prasenjit, Chen, Haifeng
Large Language Models (LLMs) have exhibited remarkable proficiency across a wide array of NLP tasks. However, the escalation in model size also engenders substantial deployment costs. While few efforts have explored model pruning techniques to reduce
Externí odkaz:
http://arxiv.org/abs/2405.06275
Trajectory generation is an important task in movement studies; it circumvents the privacy, ethical, and technical challenges of collecting real trajectories from the target population. In particular, real trajectories in the wildlife domain are scar
Externí odkaz:
http://arxiv.org/abs/2404.08068
Optical Character Recognition (OCR) is an established task with the objective of identifying the text present in an image. While many off-the-shelf OCR models exist, they are often trained for either scientific (e.g., formulae) or generic printed Eng
Externí odkaz:
http://arxiv.org/abs/2403.15724
Autor:
Cui, Suhan, Mitra, Prasenjit
In the realm of big data and digital healthcare, Electronic Health Records (EHR) have become a rich source of information with the potential to improve patient care and medical research. In recent years, machine learning models have proliferated for
Externí odkaz:
http://arxiv.org/abs/2403.04086
Autor:
Ngoon, Tricia J., Sushil, S, Stewart, Angela, Lee, Ung-Sang, Venkatraman, Saranya, Thawani, Neil, Mitra, Prasenjit, Clarke, Sherice, Zimmerman, John, Ogan, Amy
Teaching is one of many professions for which personalized feedback and reflection can help improve dialogue and discussion between the professional and those they serve. However, professional development (PD) is often impersonal as human observation
Externí odkaz:
http://arxiv.org/abs/2403.00954
In Natural Language Processing (NLP), Machine Reading Comprehension (MRC) is the task of answering a question based on a given context. To handle questions in the medical domain, modern language models such as BioBERT, SciBERT and even ChatGPT are tr
Externí odkaz:
http://arxiv.org/abs/2401.07977