Zobrazeno 1 - 10
of 1 035
pro vyhledávání: '"Xie Tong"'
Publikováno v:
Gongye shui chuli, Vol 44, Iss 10, Pp 40-51 (2024)
Livestock and poultry breeding wastewater has a complex composition by diverse types and high concentrations of pollutants. The current treatment of these waste water has gradually shifted from traditional treatment to resource utilization technologi
Externí odkaz:
https://doaj.org/article/fe70175debad407c902805eaa474c1c8
Large language models (LLMs) have made significant strides at code generation through improved model design, training, and chain-of-thought. However, prompt-level optimizations remain an important yet under-explored aspect of LLMs for coding. This wo
Externí odkaz:
http://arxiv.org/abs/2412.02906
Autor:
Xie, Tong, Zhang, Hanzhi, Wang, Shaozhou, Wan, Yuwei, Razzak, Imran, Kit, Chunyu, Zhang, Wenjie, Hoex, Bram
Natural Language Processing (NLP) is widely used to supply summarization ability from long context to structured information. However, extracting structured knowledge from scientific text by NLP models remains a challenge because of its domain-specif
Externí odkaz:
http://arxiv.org/abs/2411.12000
Exploring the predictive capabilities of language models in material science is an ongoing interest. This study investigates the application of language model embeddings to enhance material property prediction in materials science. By evaluating vari
Externí odkaz:
http://arxiv.org/abs/2410.16165
Autor:
Yang, Zonglin, Liu, Wanhao, Gao, Ben, Xie, Tong, Li, Yuqiang, Ouyang, Wanli, Poria, Soujanya, Cambria, Erik, Zhou, Dongzhan
Scientific discovery contributes largely to human society's prosperity, and recent progress shows that LLMs could potentially catalyze this process. However, it is still unclear whether LLMs can discover novel and valid hypotheses in chemistry. In th
Externí odkaz:
http://arxiv.org/abs/2410.07076
Autor:
Zhang, Di, Wu, Jianbo, Lei, Jingdi, Che, Tong, Li, Jiatong, Xie, Tong, Huang, Xiaoshui, Zhang, Shufei, Pavone, Marco, Li, Yuqiang, Ouyang, Wanli, Zhou, Dongzhan
This paper presents an advanced mathematical problem-solving framework, LLaMA-Berry, for enhancing the mathematical reasoning ability of Large Language Models (LLMs). The framework combines Monte Carlo Tree Search (MCTS) with iterative Self-Refine to
Externí odkaz:
http://arxiv.org/abs/2410.02884
Autor:
Jianjian Ji, Ling Sun, Zichen Luo, Ying Zhang, Wang Xianzheng, Yingzhao Liao, Xie Tong, Jinjun Shan
Publikováno v:
Frontiers in Immunology, Vol 12 (2021)
Pulmonary surfactant is a complex and highly surface-active material. It covers the alveolar epithelium and consists of 90% lipids and 10% proteins. Pulmonary surfactant lipids together with pulmonary surfactant proteins facilitate breathing by reduc
Externí odkaz:
https://doaj.org/article/0a991178156841458d907f2ceb9ec90f
Autor:
Wan, Yuwei, Liu, Yixuan, Ajith, Aswathy, Grazian, Clara, Hoex, Bram, Zhang, Wenjie, Kit, Chunyu, Xie, Tong, Foster, Ian
We introduce SciQAG, a novel framework for automatically generating high-quality science question-answer pairs from a large corpus of scientific literature based on large language models (LLMs). SciQAG consists of a QA generator and a QA evaluator, w
Externí odkaz:
http://arxiv.org/abs/2405.09939
Autor:
Ye, Yanpeng, Ren, Jie, Wang, Shaozhou, Wan, Yuwei, Wang, Haofen, Razzak, Imran, Hoex, Bram, Xie, Tong, Zhang, Wenjie
Knowledge in materials science is widely dispersed across extensive scientific literature, posing significant challenges for efficient discovery and integration of new materials. Traditional methods, often reliant on costly and time-consuming experim
Externí odkaz:
http://arxiv.org/abs/2404.03080
Publikováno v:
American Journal of Perinatology Reports, Vol 10, Iss 03, Pp e228-e233 (2020)
Objective This research was aimed to study the safety and efficacy of higher order multifetal pregnancy reduction (MFPR). Study Design This was a retrospective study of patients from an academic maternity center between 2005 and 2015. We evaluated ou
Externí odkaz:
https://doaj.org/article/50dae8a8cb244953961be40ac01065b1