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of 392
pro vyhledávání: '"MITRA, Bhaskar"'
Large-scale test collections play a crucial role in Information Retrieval (IR) research. However, according to the Cranfield paradigm and the research into publicly available datasets, the existing information retrieval research studies are commonly
Externí odkaz:
http://arxiv.org/abs/2408.16312
Autor:
Rahmani, Hossein A., Yilmaz, Emine, Craswell, Nick, Mitra, Bhaskar, Thomas, Paul, Clarke, Charles L. A., Aliannejadi, Mohammad, Siro, Clemencia, Faggioli, Guglielmo
The LLMJudge challenge is organized as part of the LLM4Eval workshop at SIGIR 2024. Test collections are essential for evaluating information retrieval (IR) systems. The evaluation and tuning of a search system is largely based on relevance labels, w
Externí odkaz:
http://arxiv.org/abs/2408.08896
Autor:
Rahmani, Hossein A., Siro, Clemencia, Aliannejadi, Mohammad, Craswell, Nick, Clarke, Charles L. A., Faggioli, Guglielmo, Mitra, Bhaskar, Thomas, Paul, Yilmaz, Emine
The first edition of the workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) took place in July 2024, co-located with the ACM SIGIR Conference 2024 in the USA (SIGIR 2024). The aim was to bring information retriev
Externí odkaz:
http://arxiv.org/abs/2408.05388
The modern power grid has seen a rise in the integration of non-linear loads, presenting a significant concern for operators. These loads introduce unwanted harmonics, leading to potential issues such as overheating and improper functioning of circui
Externí odkaz:
http://arxiv.org/abs/2407.21259
Recent Odessa disturbance events have brought attention to the challenges associated with the interaction between Inverter-Based Resources (IBRs) and the transmission and distribution system. The NERC event diagnosis report has highlighted several is
Externí odkaz:
http://arxiv.org/abs/2407.21133
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