Zobrazeno 1 - 10
of 386
pro vyhledávání: '"Mitra, Bhaskar"'
Robust access to trustworthy information is a critical need for society with implications for knowledge production, public health education, and promoting informed citizenry in democratic societies. Generative AI technologies may enable new ways to a
Externí odkaz:
http://arxiv.org/abs/2405.11612
Test collections play a vital role in evaluation of information retrieval (IR) systems. Obtaining a diverse set of user queries for test collection construction can be challenging, and acquiring relevance judgments, which indicate the appropriateness
Externí odkaz:
http://arxiv.org/abs/2405.07767
Traditional measures of search success often overlook the varying information needs of different demographic groups. To address this gap, we introduce a novel metric, named Group-aware Search Success (GA-SS). GA-SS redefines search success to ensure
Externí odkaz:
http://arxiv.org/abs/2404.17313
Autor:
Mitra, Bhaskar
Information retrieval (IR) technologies and research are undergoing transformative changes. It is our perspective that the community should accept this opportunity to re-center our research agendas on societal needs while dismantling the artificial s
Externí odkaz:
http://arxiv.org/abs/2403.17901
Autor:
Wang, Dewei, Mitra, Bhaskar, Nekkalapu, Sameer, Datta, Sohom, Matthew, Bibi, Meyur, Rounak, Wang, Heng, Kincic, Slaven
As the power system continues to be flooded with intermittent resources, it becomes more important to accurately assess the role of hydro and its impact on the power grid. While hydropower generation has been studied for decades, dependency of power
Externí odkaz:
http://arxiv.org/abs/2402.18017
Autor:
Wu, Haolun, Yuan, Ye, Mikaelyan, Liana, Meulemans, Alexander, Liu, Xue, Hensman, James, Mitra, Bhaskar
Recent advances in machine learning have significantly impacted the field of information extraction, with Language Models (LMs) playing a pivotal role in extracting structured information from unstructured text. Prior works typically represent inform
Externí odkaz:
http://arxiv.org/abs/2402.04437
Software reliability growth models (SRGM) enable failure data collected during testing. Specifically, nonhomogeneous Poisson process (NHPP) SRGM are the most commonly employed models. While software reliability growth models are important, efficient
Externí odkaz:
http://arxiv.org/abs/2401.17545
Organisations generate vast amounts of information, which has resulted in a long-term research effort into knowledge access systems for enterprise settings. Recent developments in artificial intelligence, in relation to large language models, are poi
Externí odkaz:
http://arxiv.org/abs/2312.10076
Structured (dictionary-like) data presents challenges for left-to-right language models, as they can struggle with structured entities for a wide variety of reasons such as formatting and sensitivity to the order in which attributes are presented. Ta
Externí odkaz:
http://arxiv.org/abs/2312.05253
In the evolving power system, where new renewable resources continually displace conventional generation, conventional hydropower resources can be an important asset that helps to maintain reliability and flexibility. Varying climatic patterns do aff
Externí odkaz:
http://arxiv.org/abs/2311.03277