Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Qin, Zhanyue"'
The rapid advancement of large language models (LLMs) has accelerated their application in reasoning, with strategic reasoning drawing increasing attention. To evaluate LLMs' strategic reasoning capabilities, game theory, with its concise structure,
Externí odkaz:
http://arxiv.org/abs/2410.10479
Autor:
Qin, Zhanyue, Wang, Haochuan, Wang, Zecheng, Liu, Deyuan, Fan, Cunhang, Lv, Zhao, Tu, Zhiying, Chu, Dianhui, Sui, Dianbo
In recent years, with the maturation of large language model (LLM) technology and the emergence of high-quality programming code datasets, researchers have become increasingly confident in addressing the challenges of program synthesis automatically.
Externí odkaz:
http://arxiv.org/abs/2410.07820
Autor:
Qin, Zhanyue, Wang, Haochuan, Liu, Deyuan, Song, Ziyang, Fan, Cunhang, Lv, Zhao, Wu, Jinlin, Lei, Zhen, Tu, Zhiying, Chu, Dianhui, Yu, Xiaoyan, Sui, Dianbo
Sequential decision-making refers to algorithms that take into account the dynamics of the environment, where early decisions affect subsequent decisions. With large language models (LLMs) demonstrating powerful capabilities between tasks, we can't h
Externí odkaz:
http://arxiv.org/abs/2406.16382
Autor:
Liu, Deyuan, Qin, Zhanyue, Wang, Hairu, Yang, Zhao, Wang, Zecheng, Rong, Fangying, Liu, Qingbin, Hao, Yanchao, Chen, Xi, Fan, Cunhang, Lv, Zhao, Tu, Zhiying, Chu, Dianhui, Li, Bo, Sui, Dianbo
While large language models (LLMs) excel in many domains, their complexity and scale challenge deployment in resource-limited environments. Current compression techniques, such as parameter pruning, often fail to effectively utilize the knowledge fro
Externí odkaz:
http://arxiv.org/abs/2406.16330