
M eta R eflection: Learning Instructions for Language Agents …
2025年3月19日 · We demonstrate the efficacy of METAREFLECTION by evaluating across multiple domains, including complex logical reasoning, biomedical semantic similarity, open world question answering, and vulnerability threat detection, in Infrastructure-as …
GitHub - SapienzaNLP/ea-mt-eval
2024年12月30日 · M-ETA (Manual Entity Translation Accuracy) is a metric for evaluating the accuracy of entity translation in machine translation systems. At a high level, given a set of gold entity translations and a set of predicted entity translations, M-ETA computes the proportion of correctly translated entities in the predicted entity translations.
摘要: 应用M eta 分析方法, 探讨捕食者与被捕食者种群数量的关系。结果表明, 捕食效应随地带性而变化, 热带效应值最 大, 亚热带、温带和寒带也有效应, 亚热带最小。按分类划分成两个级别时, 脊椎动物级别属于大效应, 而无脊椎动物级别
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Tools: META-R - Seeds of Discovery
META-R (Multi Environment Trail Analysis with R for Windows) M ETA-R is a set of R programs that performs statistical analyses to calculate BLUEs, BLUPs, genetic correlations among locations and genetic correlations between variables, broad-sense heritability, and other statistics for breeding trials are given too, in order to make boxplots and ...
差速离心的物理原理怎么分析? - 知乎
m\ddot{x}+6\pi\eta r \dot{x}-F=0 ,即 m\dot{v}=F-6\pi\eta r v. 其中, F=(m-\rho V)\omega^{2}x=常数. 这是一个简单的一阶微分方程。该方程的数学形式与较大颗粒在重力作用下自然沉降的运动学方程相同(见备注3.1;相当于 F=(m-\rho_{液}V)g=常数 )。易得其解为: v(t)=\frac{F}{6\pi\eta r ...
MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning
2025年3月17日 · To address these two problems, in this paper, we propose MERIt, a MEta-path guided contrastive learning method for logical ReasonIng of text, to perform self-supervised pre-training on abundant unlabeled text data. Two novel strategies serve as indispensable components of our method.
布朗运动的定量描述 - 知乎 - 知乎专栏
解得 \overline{s^2}=\frac{kT}{3\pi\eta r}t+\frac{mkT}{18\pi^2a^2\eta^2}(e^{-\frac{6\pi \eta r}{m}t}-1) (默认 t=0 时, \overline{s^2}=0 并且 \frac{d\overline{s^2}}{dt}=0 ) 又 \frac{6\pi \eta r}{m}\rightarrow10^7 ,则 \overline{s^2}\approx\frac{kT}{3\pi\eta r}t=2Dt
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