Zobrazeno 1 - 10
of 298 898
pro vyhledávání: '"A Maryam"'
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:
Verkennis, Bas, van Weelden, Evy, Marogna, Francesca L., Alimardani, Maryam, Wiltshire, Travis J., Louwerse, Max M.
Effective cognitive workload management has a major impact on the safety and performance of pilots. Integrating brain-computer interfaces (BCIs) presents an opportunity for real-time workload assessment. Leveraging cognitive workload data from immers
Externí odkaz:
http://arxiv.org/abs/2412.12428
Autor:
Aliakbarpour, Maryam, Bairaktari, Konstantina, Smith, Adam, Swanberg, Marika, Ullman, Jonathan
Model personalization allows a set of individuals, each facing a different learning task, to train models that are more accurate for each person than those they could develop individually. The goals of personalization are captured in a variety of for
Externí odkaz:
http://arxiv.org/abs/2412.12374
Autor:
Taghizadeh, Maryam, Ahmadi, Mahmood
Vehicular fog computing (VFC) can be considered as an important alternative to address the existing challenges in intelligent transportation systems (ITS). The main purpose of VFC is to perform computational tasks through various vehicles. At present
Externí odkaz:
http://arxiv.org/abs/2412.11230
Autor:
Azizi, Majid, Soleymaninia, Maryam, Hashamipour, Hadi, Salajegheh, Maral, Khanpour, Hamzeh, Meißner, Ulf-G.
We present new parton distribution functions (PDFs) at next-to-leading order (NLO) and next-to-next-to-leading order (NNLO) in perturbative QCD, derived from a comprehensive global QCD analysis of high-precision data sets from combined HERA deep-inel
Externí odkaz:
http://arxiv.org/abs/2412.10727
Reinforcement Learning from Human Feedback (RLHF) is currently the leading approach for aligning large language models with human preferences. Typically, these models rely on extensive offline preference datasets for training. However, offline algori
Externí odkaz:
http://arxiv.org/abs/2412.10616
Autor:
Fabrizi, Federico, Cegielski, Piotr J., Goudarzi, Saeed, Kurahashi, Naho, Runkel, Manuel, Kreusel, Cedric, Chmielak, Bartos, Suckow, Stephan, Riedl, Thomas, Anantharaman, Surendra B., Mohammadi, Maryam, Lemme, Max C.
Silicon photonic integrated circuits (PICs) require cost-effective laser sources that can be monolithically integrated. The low cost and low-temperature solution processability of metal halide perovskites (MHPs) make them attractive alternatives to e
Externí odkaz:
http://arxiv.org/abs/2412.15245
In this paper, we investigate the \textsc{Grundy Coloring} problem for graphs with a cluster modulator, a structure commonly found in dense graphs. The Grundy chromatic number, representing the maximum number of colors needed for the first-fit colori
Externí odkaz:
http://arxiv.org/abs/2412.10082
Autor:
Sclar, Melanie, Yu, Jane, Fazel-Zarandi, Maryam, Tsvetkov, Yulia, Bisk, Yonatan, Choi, Yejin, Celikyilmaz, Asli
Do large language models (LLMs) have theory of mind? A plethora of papers and benchmarks have been introduced to evaluate if current models have been able to develop this key ability of social intelligence. However, all rely on limited datasets with
Externí odkaz:
http://arxiv.org/abs/2412.12175
Intracranial EEG (iEEG) recording, characterized by high spatial and temporal resolution and superior signal-to-noise ratio (SNR), enables the development of precise brain-computer interface (BCI) systems for neural decoding. However, the invasive na
Externí odkaz:
http://arxiv.org/abs/2412.06336