Zobrazeno 1 - 10
of 454
pro vyhledávání: '"HELAN P."'
Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints
Semantic Parsing aims to capture the meaning of a sentence and convert it into a logical, structured form. Previous studies show that semantic parsing enhances the performance of smaller models (e.g., BERT) on downstream tasks. However, it remains un
Externí odkaz:
http://arxiv.org/abs/2409.14469
Autor:
Gao, Bofei, Song, Feifan, Miao, Yibo, Cai, Zefan, Yang, Zhe, Chen, Liang, Hu, Helan, Xu, Runxin, Dong, Qingxiu, Zheng, Ce, Xiao, Wen, Zhang, Ge, Zan, Daoguang, Lu, Keming, Yu, Bowen, Liu, Dayiheng, Cui, Zeyu, Yang, Jian, Sha, Lei, Wang, Houfeng, Sui, Zhifang, Wang, Peiyi, Liu, Tianyu, Chang, Baobao
Large Language Models (LLMs) exhibit remarkably powerful capabilities. One of the crucial factors to achieve success is aligning the LLM's output with human preferences. This alignment process often requires only a small amount of data to efficiently
Externí odkaz:
http://arxiv.org/abs/2409.02795
The rapid advancement of large language models has given rise to a plethora of applications across a myriad of real-world tasks, mainly centered on aligning with human intent. However, the complexities inherent in human intent necessitate a dependenc
Externí odkaz:
http://arxiv.org/abs/2405.12163
The recent end-to-end neural solvers have shown promise for small-scale routing problems but suffered from limited real-time scaling-up performance. This paper proposes GLOP (Global and Local Optimization Policies), a unified hierarchical framework t
Externí odkaz:
http://arxiv.org/abs/2312.08224
Autor:
Tang, Xiangru, Liu, Yuliang, Cai, Zefan, Shao, Yanjun, Lu, Junjie, Zhang, Yichi, Deng, Zexuan, Hu, Helan, An, Kaikai, Huang, Ruijun, Si, Shuzheng, Chen, Sheng, Zhao, Haozhe, Chen, Liang, Wang, Yan, Liu, Tianyu, Jiang, Zhiwei, Chang, Baobao, Fang, Yin, Qin, Yujia, Zhou, Wangchunshu, Zhao, Yilun, Cohan, Arman, Gerstein, Mark
Despite Large Language Models (LLMs) like GPT-4 achieving impressive results in function-level code generation, they struggle with repository-scale code understanding (e.g., coming up with the right arguments for calling routines), requiring a deeper
Externí odkaz:
http://arxiv.org/abs/2311.09835
Distantly-Supervised Named Entity Recognition (DS-NER) is widely used in real-world scenarios. It can effectively alleviate the burden of annotation by matching entities in existing knowledge bases with snippets in the text but suffer from the label
Externí odkaz:
http://arxiv.org/abs/2311.08010
Ant Colony Optimization (ACO) is a meta-heuristic algorithm that has been successfully applied to various Combinatorial Optimization Problems (COPs). Traditionally, customizing ACO for a specific problem requires the expert design of knowledge-driven
Externí odkaz:
http://arxiv.org/abs/2309.14032
Autor:
Helan Qin, Jia Guo, Yingshan Jin, Zijing Li, Ju Chen, Zhengwei Bie, Chunyu Luo, Feitong Peng, Dongyan Yan, Qinggang Kong, Fang Liang, Hua Zhang, Xuefan Hu, Rongfeng Cui, Xiuna Cui
Publikováno v:
BMC Plant Biology, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background In the field of ornamental horticulture, phenotypic mutations, particularly in leaf color, are of great interest due to their potential in developing new plant varieties. The introduction of variegated leaf traits in plants like H
Externí odkaz:
https://doaj.org/article/0f304009e61a4e4cb782677468360ee6
Autor:
Jensi Helan J, Rashmi Borah
Publikováno v:
Space and Culture, India, Vol 12, Iss 02 (2024)
The field of ecology in literature distorted the notion of humans being the centre of all living ecosystems, striving for an “environment that is neither solipsistically anthropocentric nor blatantly anti-humanitarian” (Lauer, 2018, p.13). This l
Externí odkaz:
https://doaj.org/article/6c0a7e39076e4ce7a7fea3f5f73bb6cd
Autor:
Aswini Anguraj, Helan Soundra Rani Michael, Sathish Sugumaran, Gogul Ramnath Madhusudhanan, Rathish Kumar Sivaraman
Publikováno v:
Discover Nano, Vol 19, Iss 1, Pp 1-15 (2024)
Abstract The green synthesis of nanoparticles (NPs) gained significant impacts in various fields due to the use of eco-friendly approaches. In this study, silver nanoparticles (AgNPs) were synthesized from the aqueous extract of Hylocereus undatus fr
Externí odkaz:
https://doaj.org/article/cf1e7dd268ea41beb8b7d4bad77df102