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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
- Sebastian Gehrmann, Tosin P. Adewumi, Jiawei Zhou
- Computer ScienceIEEE Games Entertainment Media Conference
- 2 February 2021
GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics, is introduced and the description of the data for the 2021 shared task at the associated GEM Workshop is described.
[Postmenopausal osteoporosis treated with acupoint injection of salmon calcitonin:a randomized controlled trial].
- Zhihua Zhou, N. Wang, Chao Ding, Xinguo Zhou, Jiawei Zhou
- Medicine, BiologyZhongguo zhen jiu = Chinese acupuncture…
- 12 July 2016
Salmon calcitonin injec-tion at Zusanli (ST 36) and Shenshu (BL 23) achieves significant efficacy on postmenopausal osteoporosis, stimulating osteoblast activity and inhibiting bone absorption of osteoclast.
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code
The new version of the Generation, Evaluation, and Metrics Benchmark introduces GEMv2, which introduces a modular infrastructure for dataset, model, and metric developers to beneﬁt from each others work.
A novel binary multi-swarms fruit fly optimization algorithm for the 0-1 multidimensional knapsack problem
Method for making multi-attribute decisions in wargames by combining intuitionistic fuzzy numbers with reinforcement learning
- Yuxiang Sun, Bo Yuan, Yufan Xue, Jiawei Zhou, Xiaoyu Zhang, Xianzhong Zhou
- Computer ScienceArXiv
- 6 September 2021
An algorithm that combines the multi-attribute management and reinforcement learning methods, and that combined their effect on wargaming, it solves the problem of the agent's low rate of winning against specific rules and its inability to quickly converge during intelligent wargame training.