Zobrazeno 1 - 10
of 115
pro vyhledávání: '"AgarwaL, Shivam"'
Autor:
Gong, Shansan, Agarwal, Shivam, Zhang, Yizhe, Ye, Jiacheng, Zheng, Lin, Li, Mukai, An, Chenxin, Zhao, Peilin, Bi, Wei, Han, Jiawei, Peng, Hao, Kong, Lingpeng
Diffusion Language Models (DLMs) have emerged as a promising new paradigm for text generative modeling, potentially addressing limitations of autoregressive (AR) models. However, current DLMs have been studied at a smaller scale compared to their AR
Externí odkaz:
http://arxiv.org/abs/2410.17891
Document retrieval has greatly benefited from the advancements of large-scale pre-trained language models (PLMs). However, their effectiveness is often limited in theme-specific applications for specialized areas or industries, due to unique terminol
Externí odkaz:
http://arxiv.org/abs/2403.04160
Publikováno v:
Journal of Hospitality and Tourism Insights, 2023, Vol. 7, Issue 4, pp. 1852-1870.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JHTI-03-2023-0217
The mission of open knowledge graph (KG) completion is to draw new findings from known facts. Existing works that augment KG completion require either (1) factual triples to enlarge the graph reasoning space or (2) manually designed prompts to extrac
Externí odkaz:
http://arxiv.org/abs/2305.15597
The rapid spread of information over social media influences quantitative trading and investments. The growing popularity of speculative trading of highly volatile assets such as cryptocurrencies and meme stocks presents a fresh challenge in the fina
Externí odkaz:
http://arxiv.org/abs/2206.06320
Autor:
Latif, Shahid, Agarwal, Shivam, Gottschalk, Simon, Chrosch, Carina, Feit, Felix, Jahn, Johannes, Braun, Tobias, Tchenko, Yanick Christian, Demidova, Elena, Beck, Fabian
Knowledge graphs store information about historical figures and their relationships indirectly through shared events. We developed a visualization system, VisKonnect, for analyzing the intertwined lives of historical figures based on the events they
Externí odkaz:
http://arxiv.org/abs/2109.09380
Autor:
Laurent, Florian, Schneider, Manuel, Scheller, Christian, Watson, Jeremy, Li, Jiaoyang, Chen, Zhe, Zheng, Yi, Chan, Shao-Hung, Makhnev, Konstantin, Svidchenko, Oleg, Egorov, Vladimir, Ivanov, Dmitry, Shpilman, Aleksei, Spirovska, Evgenija, Tanevski, Oliver, Nikov, Aleksandar, Grunder, Ramon, Galevski, David, Mitrovski, Jakov, Sartoretti, Guillaume, Luo, Zhiyao, Damani, Mehul, Bhattacharya, Nilabha, Agarwal, Shivam, Egli, Adrian, Nygren, Erik, Mohanty, Sharada
The Flatland competition aimed at finding novel approaches to solve the vehicle re-scheduling problem (VRSP). The VRSP is concerned with scheduling trips in traffic networks and the re-scheduling of vehicles when disruptions occur, for example the br
Externí odkaz:
http://arxiv.org/abs/2103.16511
Publikováno v:
In Translational Oncology April 2024 42
We introduce S++, a simple, robust, and deployable framework for training a neural network (NN) using private data from multiple sources, using secret-shared secure function evaluation. In short, consider a virtual third party to whom every data-hold
Externí odkaz:
http://arxiv.org/abs/2101.12078
We conducted a questionnaire study aimed towards PhD students in the field of visualization research to understand how they cope with paper rejections. We collected responses from 24 participants and performed a qualitative analysis of the data in re
Externí odkaz:
http://arxiv.org/abs/2009.00406