【TACO(Topics in Algorithmic COde generation dataset):关于算法代码生成的数据集,具有更大规模、更高质量和更精细标签的特点,旨在提供一个更具挑战性的训练数据集和评估基准,用于代码生成模型领域】'TACO(Topics in Algorithmic COde generation dataset)' GitHub: github.com/FlagOpen/TACO #开源# #机器学习# #人...
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Autoregressive language models, which use deep learning to produce human-like texts, have surged in prevalence. Despite advances in these models, concerns arise about their equity across diverse populations. While AI fairness is discussed widely, metrics to measure equity in dialogue systems are lackin...
[2005]), we adopt an integrated approach where we try to analyze and take into account all previously known experience, but in such a way that no component from a legacy code is accepted a priori. Rather, we try to identify potential algorithmic interferences and conflicts and their possible...
Empty Cell for Imbalanced dataset [21] Emerging Technology and algorithmic-level approaches Empty Cell Advanced Engineering,2012 for imbalanced datasets. 7 A review on ensembles for the IEEE Transactions on Systems, Man Review ensemble techniques in Empty Cell class imbalance problem: bagging and Cybern...
The disparities between human and algorithmic classifications raised questions regarding the concept of ‘ground truth’ and the intricate nature of text annotation [94]. Despite being much lower in the topic modelling and emotion detection analysis, the sentiment analysis human review of tweets showed...
Here, I want to focus on some of the reservations that Sunstein summarizes about algorithmic decision-making–some of which might be overcome with better systems over time, some perhaps not. 1) Even if the algorithm does a better job than most humans, some humans will do better than the al...
In an ideal scenario, you even think about potential ideas beforehand and come prepared with a specific project in mind (but remember – no code written before the official countdown starts!). It’s good, but not crucial: often, ideas come during the first hours after brainstorming with the...
[36], N -subjettiness variables [37,38,39], and Energy Flow Polynomials [40]. For a comprehensive discussion, we direct the interested readers to Refs. [41,42,43,44,45,46,47]. We have hand-picked some of these and some physics-inspired algorithmic approaches for the subsequent ...