Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Lai, Yuhang"'
Autor:
Lai, Yuhang
The last few decades have seen an explosion in population growth and along with this growth we have also witnessed an increase in demand for products. Although our resources are limited, consumers' needs know no bounds. It is not surprising that we a
Externí odkaz:
http://hdl.handle.net/10919/115227
Autor:
Liu, Shujun, Shen, Xiaoyu, Lai, Yuhang, Wang, Siyuan, Yue, Shengbin, Huang, Zengfeng, Huang, Xuanjing, Wei, Zhongyu
The reward model has become increasingly important in alignment, assessment, and data construction for large language models (LLMs). Most existing researchers focus on enhancing reward models through data improvements, following the conventional trai
Externí odkaz:
http://arxiv.org/abs/2407.04185
We introduce ALaRM, the first framework modeling hierarchical rewards in reinforcement learning from human feedback (RLHF), which is designed to enhance the alignment of large language models (LLMs) with human preferences. The framework addresses the
Externí odkaz:
http://arxiv.org/abs/2403.06754
Autor:
Su, Hongjin, Jiang, Shuyang, Lai, Yuhang, Wu, Haoyuan, Shi, Boao, Liu, Che, Liu, Qian, Yu, Tao
Recently the retrieval-augmented generation (RAG) paradigm has raised much attention for its potential in incorporating external knowledge into large language models (LLMs) without further training. While widely explored in natural language applicati
Externí odkaz:
http://arxiv.org/abs/2402.12317
Autor:
Lai, Yuhang, Li, Chengxi, Wang, Yiming, Zhang, Tianyi, Zhong, Ruiqi, Zettlemoyer, Luke, Yih, Scott Wen-tau, Fried, Daniel, Wang, Sida, Yu, Tao
We introduce DS-1000, a code generation benchmark with a thousand data science problems spanning seven Python libraries, such as NumPy and Pandas. Compared to prior works, DS-1000 incorporates three core features. First, our problems reflect diverse,
Externí odkaz:
http://arxiv.org/abs/2211.11501
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.