Zobrazeno 1 - 10
of 6 940
pro vyhledávání: '"P, Firat"'
We provide a comprehensive picture for the formulation of the perfect fluid in the modern effective field theory formalism at both the classical and quantum level. Due to the necessity of decomposing the hydrodynamical variables $(\rho, p, u^\mu)$ in
Externí odkaz:
http://arxiv.org/abs/2412.10344
Satire detection is essential for accurately extracting opinions from textual data and combating misinformation online. However, the lack of diverse corpora for satire leads to the problem of stylistic bias which impacts the models' detection perform
Externí odkaz:
http://arxiv.org/abs/2412.09247
This study evaluates the effectiveness of Vision Language Models (VLMs) in representing and utilizing multimodal content for fact-checking. To be more specific, we investigate whether incorporating multimodal content improves performance compared to
Externí odkaz:
http://arxiv.org/abs/2412.05155
Autor:
Yılmaz, Fırat
We propose a new route to generate an interband Dzyaloshinskii-Moriya interaction in metals from solely microscopic perspective. The system consists of conduction band electrons in the presence of the Rashba spin-orbit coupling which are coupled to a
Externí odkaz:
http://arxiv.org/abs/2412.01631
We supplement the string field theory action with boundary terms to make its variational principle well-posed. Central to our considerations is the violation of the stress-energy tensor conservation in non-compact CFTs due to the boundary terms. This
Externí odkaz:
http://arxiv.org/abs/2411.16673
Autor:
Obrist, Jan, Zamora, Miguel, Zheng, Hehui, Hinchet, Ronan, Ozdemir, Firat, Zarate, Juan, Katzschmann, Robert K., Coros, Stelian
Data-driven methods have shown great potential in solving challenging manipulation tasks, however, their application in the domain of deformable objects has been constrained, in part, by the lack of data. To address this, we propose PokeFlex, a datas
Externí odkaz:
http://arxiv.org/abs/2410.07688
Autor:
Öncel, Fırat, Bethge, Matthias, Ermis, Beyza, Ravanelli, Mirco, Subakan, Cem, Yıldız, Çağatay
In the last decade, the generalization and adaptation abilities of deep learning models were typically evaluated on fixed training and test distributions. Contrary to traditional deep learning, large language models (LLMs) are (i) even more overparam
Externí odkaz:
http://arxiv.org/abs/2410.05581
Autor:
Vodrahalli, Kiran, Ontanon, Santiago, Tripuraneni, Nilesh, Xu, Kelvin, Jain, Sanil, Shivanna, Rakesh, Hui, Jeffrey, Dikkala, Nishanth, Kazemi, Mehran, Fatemi, Bahare, Anil, Rohan, Dyer, Ethan, Shakeri, Siamak, Vij, Roopali, Mehta, Harsh, Ramasesh, Vinay, Le, Quoc, Chi, Ed, Lu, Yifeng, Firat, Orhan, Lazaridou, Angeliki, Lespiau, Jean-Baptiste, Attaluri, Nithya, Olszewska, Kate
We introduce Michelangelo: a minimal, synthetic, and unleaked long-context reasoning evaluation for large language models which is also easy to automatically score. This evaluation is derived via a novel, unifying framework for evaluations over arbit
Externí odkaz:
http://arxiv.org/abs/2409.12640
Publikováno v:
JHEP volume 2024, article number 5 (2024)
We derive an analog of Mirzakhani's recursion relation for hyperbolic string vertices and investigate its implications for closed string field theory. Central to our construction are systolic volumes: the Weil-Petersson volumes of regions in moduli s
Externí odkaz:
http://arxiv.org/abs/2409.02982
Autor:
Martin, Joshua, Feldman, Catherine, Siegmann, Eva, Curtis, Tony, Carlson, David, Coskun, Firat, Wood, Daniel, Gonzalez, Raul, Harrison, Robert J., Calder, Alan C.
Publikováno v:
Practice and Experience in Advanced Research Computing 2024 Article no.8
Astrophysical simulations are computation, memory, and thus energy intensive, thereby requiring new hardware advances for progress. Stony Brook University recently expanded its computing cluster "SeaWulf" with an addition of 94 new nodes featuring In
Externí odkaz:
http://arxiv.org/abs/2408.16084