Zobrazeno 1 - 10
of 71 238
pro vyhledávání: '"Hashemi AS"'
Publikováno v:
Proceedings of ACL 2024 (Volume 1: Long Papers), pp. 13806-13834
This paper introduces a framework for the automated evaluation of natural language texts. A manually constructed rubric describes how to assess multiple dimensions of interest. To evaluate a text, a large language model (LLM) is prompted with each ru
Externí odkaz:
http://arxiv.org/abs/2501.00274
Autor:
Zarharan, Majid, Hashemi, Maryam, Behroozrazegh, Malika, Eetemadi, Sauleh, Pilehvar, Mohammad Taher, Foster, Jennifer
We introduce FarExStance, a new dataset for explainable stance detection in Farsi. Each instance in this dataset contains a claim, the stance of an article or social media post towards that claim, and an extractive explanation which provides evidence
Externí odkaz:
http://arxiv.org/abs/2412.14008
Autor:
Tiwari, Aman, Malay, Shiva Krishna Reddy, Yadav, Vikas, Hashemi, Masoud, Madhusudhan, Sathwik Tejaswi
Cypher, the query language for Neo4j graph databases, plays a critical role in enabling graph-based analytics and data exploration. While substantial research has been dedicated to natural language to SQL query generation (Text2SQL), the analogous pr
Externí odkaz:
http://arxiv.org/abs/2412.12612
Dynamic event prediction, using joint modeling of survival time and longitudinal variables, is extremely useful in personalized medicine. However, the estimation of joint models including many longitudinal markers is still a computational challenge b
Externí odkaz:
http://arxiv.org/abs/2412.08857
Autor:
Clinkinbeard, Nicholus R., Sehlin, Justin, Bhatti, Meharpal Singh, McNamarra, Marilyn, Montazami, Reza, Hashemi, Nicole N.
Selection of solution concentrations and flow rates for the fabrication of microfibers using a microfluidic device is a largely empirical endeavor of trial-and-error, largely due to the difficulty of modeling such a multiphysics process. Machine lear
Externí odkaz:
http://arxiv.org/abs/2412.08822
Autor:
Haghshenas, Kawsar, Hashemi, Mona
Deep Learning Training (DLT) is a growing workload in shared GPU/CPU clusters due to its high computational cost and increasing number of jobs. This contributes to significant energy consumption in GPU clusters, further exacerbated by GPU under-utili
Externí odkaz:
http://arxiv.org/abs/2412.08294
Regarding the concepts of urban management, digital transformation, and smart cities, various issues are presented. Currently, we like to attend to location allocation problems that can be a new part of digital transformation in urban management (suc
Externí odkaz:
http://arxiv.org/abs/2412.06032
Collecting multiple longitudinal measurements and time-to-event outcomes is a common practice in clinical and epidemiological studies, often focusing on exploring associations between them. Joint modeling is the standard analytical tool for such data
Externí odkaz:
http://arxiv.org/abs/2412.05765
Autor:
Abdollahi, Mahdi, Aghdam, Sima Taefi, Javadi, Atefeh, Hashemi, Seyed Azim, van Loon, Jacco Th., Khosroshahi, Habib, Golshan, Roya Hamedani, Saremi, Elham, Saberi, Maryam
NGC 5128 (Centaurus A), the closest giant elliptical galaxy outside the Local Group to the Milky Way, is one of the brightest extragalactic radio sources. It is distinguished by a prominent dust lane and powerful jets, driven by a supermassive black
Externí odkaz:
http://arxiv.org/abs/2412.05642
Autor:
Baghfalaki, Taban, Hashemi, Reza, Tzourio, Christophe, Helmer, Catherine, Jacqmin-Gadda, Helene
Background: In clinical and epidemiological research, the integration of longitudinal measurements and time-to-event outcomes is vital for understanding relationships and improving risk prediction. However, as the number of longitudinal markers incre
Externí odkaz:
http://arxiv.org/abs/2412.03797