Zobrazeno 1 - 10
of 2 965
pro vyhledávání: '"Li, Xuefeng"'
Self-improvement through post-training methods such as iterative preference learning has been acclaimed for enhancing the problem-solving capabilities (e.g., mathematical reasoning) of Large Language Models (LLMs) without human intervention. However,
Externí odkaz:
http://arxiv.org/abs/2407.05013
Autor:
Huang, Zhen, Wang, Zengzhi, Xia, Shijie, Li, Xuefeng, Zou, Haoyang, Xu, Ruijie, Fan, Run-Ze, Ye, Lyumanshan, Chern, Ethan, Ye, Yixin, Zhang, Yikai, Yang, Yuqing, Wu, Ting, Wang, Binjie, Sun, Shichao, Xiao, Yang, Li, Yiyuan, Zhou, Fan, Chern, Steffi, Qin, Yiwei, Ma, Yan, Su, Jiadi, Liu, Yixiu, Zheng, Yuxiang, Zhang, Shaoting, Lin, Dahua, Qiao, Yu, Liu, Pengfei
The evolution of Artificial Intelligence (AI) has been significantly accelerated by advancements in Large Language Models (LLMs) and Large Multimodal Models (LMMs), gradually showcasing potential cognitive reasoning abilities in problem-solving and s
Externí odkaz:
http://arxiv.org/abs/2406.12753
The leaderboard of Large Language Models (LLMs) in mathematical tasks has been continuously updated. However, the majority of evaluations focus solely on the final results, neglecting the quality of the intermediate steps. This oversight can mask und
Externí odkaz:
http://arxiv.org/abs/2404.05692
Biomedical event extraction is an information extraction task to obtain events from biomedical text, whose targets include the type, the trigger, and the respective arguments involved in an event. Traditional biomedical event extraction usually adopt
Externí odkaz:
http://arxiv.org/abs/2403.12386
Publikováno v:
The Astrophysical Journal, 943:115 (11pp), 2023
The study of Li phenomena in red clump (RC) stars can give us a deeper understanding of the structure and evolution of stars. \citet{2022ApJ...933...58C} explained the RC Li abundance distributions naturally using only standard post main sequence (MS
Externí odkaz:
http://arxiv.org/abs/2403.01056
Increasing observed data indicate that part of giants has abnormally high lithium (Li) inside their surface, and their proportion is around 1%. Instead of pursuing the feasible mechanisms for extra Li enrichment, we focus on how to inhibit Li depleti
Externí odkaz:
http://arxiv.org/abs/2403.00215
Until now, how the magnetic fields in M/X-class flaring active regions (ARs) differ from C-class flaring ARs remains unclear. Here, we calculate the key magnetic field parameters within the area of high photospheric free energy density (HED region) f
Externí odkaz:
http://arxiv.org/abs/2402.18890
Autor:
Fan, Run-Ze, Li, Xuefeng, Zou, Haoyang, Li, Junlong, He, Shwai, Chern, Ethan, Hu, Jiewen, Liu, Pengfei
The quality of finetuning data is crucial for aligning large language models (LLMs) with human values. Current methods to improve data quality are either labor-intensive or prone to factual errors caused by LLM hallucinations. This paper explores ele
Externí odkaz:
http://arxiv.org/abs/2402.12219
Autor:
Zou, Dongcheng, Wang, Senzhang, Li, Xuefeng, Peng, Hao, Wang, Yuandong, Liu, Chunyang, Sheng, Kehua, Zhang, Bo
Traffic forecasting is a complex multivariate time-series regression task of paramount importance for traffic management and planning. However, existing approaches often struggle to model complex multi-range dependencies using local spatiotemporal fe
Externí odkaz:
http://arxiv.org/abs/2311.02880
We introduce a multiple-carrier-lifetime model (MCLM) for light-emitting diodes (LEDs) with non-uniform carrier distribution, such as in multiple-quantum-well (MQW) structures. By employing the MCLM, we successfully explain the modulation response of
Externí odkaz:
http://arxiv.org/abs/2310.17066