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of 189
pro vyhledávání: '"Vu, Doan"'
Autor:
Hou, Yufang, Tran, Thy Thy, Vu, Doan Nam Long, Cao, Yiwen, Li, Kai, Rohde, Lukas, Gurevych, Iryna
This paper presents a shared task that we organized at the Foundations of Language Technology (FoLT) course in 2023/2024 at the Technical University of Darmstadt, which focuses on evaluating the output of Large Language Models (LLMs) in generating ha
Externí odkaz:
http://arxiv.org/abs/2408.00122
Applying differential privacy (DP) by means of the DP-SGD algorithm to protect individual data points during training is becoming increasingly popular in NLP. However, the choice of granularity at which DP is applied is often neglected. For example,
Externí odkaz:
http://arxiv.org/abs/2407.18789
Autor:
Igamberdiev, Timour, Vu, Doan Nam Long, Künnecke, Felix, Yu, Zhuo, Holmer, Jannik, Habernal, Ivan
Neural machine translation (NMT) is a widely popular text generation task, yet there is a considerable research gap in the development of privacy-preserving NMT models, despite significant data privacy concerns for NMT systems. Differentially private
Externí odkaz:
http://arxiv.org/abs/2311.14465
Autor:
Liu, Hao, Wang, Chao, Tan, Wen Liang, Thomsen, Lars, Chesman, Anthony S. R., Hora, Yvonne, Jevric, Martyn, Bjuggren, Jonas M., Andersson, Mats R., Tang, Yahui, Tang, Linjing, Vu, Doan, McNeill, Christopher R.
We present a "one-step" approach to modify ZnO electron transport layers (ETLs) used in organic solar cells. This approach involves adding benzoic acid (BZA) derivatives directly to the ZnO precursor solution, which are then present at the surface of
Externí odkaz:
http://arxiv.org/abs/2307.06972
The evaluation of recent embedding-based evaluation metrics for text generation is primarily based on measuring their correlation with human evaluations on standard benchmarks. However, these benchmarks are mostly from similar domains to those used f
Externí odkaz:
http://arxiv.org/abs/2209.02317
Publikováno v:
IEEE Access, Vol 11, Pp 144095-144112 (2023)
While task mapping for multi-core systems is known as an NP-hard problem, mapping for neuromorphic systems even scale it up due to a high number of neurons per core and a high number of core per system. Moreover, mapping for neuromorphic systems also
Externí odkaz:
https://doaj.org/article/8ef14d2cadf441e3965b4b6911f54fb5
Publikováno v:
In Journal of Asian Earth Sciences 15 April 2023 245
Akademický článek
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Autor:
Rasool, Shafket, Hoang, Quoc Viet, Vu, Doan Van, Song, Chang Eun, Lee, Hang Ken, Lee, Sang Kyu, Lee, Jong-Cheol, Moon, Sang-Jin, Shin, Won Suk
Publikováno v:
In Journal of Energy Chemistry January 2022 64:236-245
Akademický článek
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