Review of Best-Worst Scaling Method: A New Method over other Scales in Marketing ResearchShehely Parvin
然而,来自英伟达的这项研究指出,造成这一现象的根本原因在于:数学、编程等任务在 base model 的训练数据中被过度呈现,以及 RL 训练步数不足。 论文题目:ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models 链接:https://arxiv.org/pdf/2505.24864 ProRL 来了!长期训练 =...
Scaling applications in fire research 来自 Semantic Scholar 喜欢 0 阅读量: 669 作者: JG Quintiere 摘要: The principles for scaling fire phenomena are examined from the dimensionless groups derived from the governing differential equations. A review of the literature shows examples of where correlation...
Which leads us to the numerical method. Jones and Thurstone modified a procedure used earlier by Edwards (1952). A description of the process and results can be found in the paper “Development of a scale for measuring soldiers’ food preferences” by Jones et al. (1955). Fifty-one words ...
The properties of heterogeneous variance are explored and integrated into the maximum likelihood-based method. The CHVR method is applied to estimating six urban attributes in China and compared with two traditional methods. Method assessments and a statistical test are performed to validate the CHVR...
The development of neural techniques has opened up new avenues for research in machine translation. Today, neural machine translation (NMT) systems can leverage highly multilingual capacities and even perform zero-shot translation, delivering promising r
模型性能提升 :开发出的 Nemotron-Research-Reasoning-Qwen-1.5B 模型在多个基准测试中显著超越了其基础模型 DeepSeek-R1-1.5B 以及 DeepSeek-R1-7B。例如,在数学基准测试中平均 pass@1 提升了 14.7%,在编程任务上提升了 13.9%,在逻辑谜题上提升了 54.8%,在 STEM 推理上提升了 25.1%,在指令遵循任务上提升了...
method TPE, as it uses training speed to more generally enable performance estimation across a wide range of applications. TPE generalizes TSE to HPO for new deep learning domains (LLMs, GNNs) and can be used to directly predict converged loss, in addition to rank ordering different ...
The purpose of this paper is to investigate a method of scaling ratios using the principal eigenvector of a positive pairwise comparison matrix. Consistency of the matrix data is defined and measured by an expression involving the average of the nonprincipal eigenvalues. We show that λmax = n...
When NVIDIA first introduced NVIDIA Triton Inference Server in 2018, the goal was to accelerate AI innovation and drive down inference costs.Triton was the first open-sourceAI inference server that consolidated bespoke framework-specific inference serving, including TensorFlow,...