Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Guan, Xinyan"'
Manually annotating instruction data for large language models is difficult, costly, and hard to scale. Meanwhile, current automatic annotation methods typically rely on distilling synthetic data from proprietary LLMs, which not only limits the upper
Externí odkaz:
http://arxiv.org/abs/2408.10663
Hallucination occurs when large language models (LLMs) exhibit behavior that deviates from the boundaries of their knowledge during the response generation process. Previous learning-based methods focus on detecting knowledge boundaries and finetunin
Externí odkaz:
http://arxiv.org/abs/2406.12221
Incorporating factual knowledge in knowledge graph is regarded as a promising approach for mitigating the hallucination of large language models (LLMs). Existing methods usually only use the user's input to query the knowledge graph, thus failing to
Externí odkaz:
http://arxiv.org/abs/2311.13314
Understanding documents is central to many real-world tasks but remains a challenging topic. Unfortunately, there is no well-established consensus on how to comprehensively evaluate document understanding abilities, which significantly hinders the fa
Externí odkaz:
http://arxiv.org/abs/2305.09520
Recent research has revealed that neural language models at scale suffer from poor temporal generalization capability, i.e., the language model pre-trained on static data from past years performs worse over time on emerging data. Existing methods mai
Externí odkaz:
http://arxiv.org/abs/2210.17127
Publikováno v:
In Journal of Non-Newtonian Fluid Mechanics January 2023 311
Autor:
Chen, Suhang, Tang, Yue, Yu, Hongsheng, Guan, Xinyan, DeLuca, Luigi T., Zhang, Wei, Shen, Ruiqi, Ye, Yinghua
Publikováno v:
In Carbon April 2019 144:472-480
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Akademický článek
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The TTG Consulting Ltd. has been contracted with UBC Social Ecological Economic Development Studies (SEEDS) Sustainability Program to design a detention facility for UBC Center for Comparative Medicine (CCM). By following the requirements of the clie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::233cc52a42eb232d744f9e5a68f119d0