Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Wang Zhiruo"'
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 5, Pp 718-722 (2024)
Non-infectious uveitis, an autoimmune disease that can cause severe visual impairment, can be difficult to treat. According to the prevailing hypothesis, the immune-mediated imbalance that contributes to non-infectious uveitis is primarily driven by
Externí odkaz:
https://doaj.org/article/2cfdcf1db0bd408da43a29e3a76c368b
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 2157-2168 (2023)
The research on land-use transfer has always been a hot spot for domestic and foreign scholars, and it is also the focus of practical works. In China, the Beijing Municipal Government has put forward many forestry policies, emphasising the need to im
Externí odkaz:
https://doaj.org/article/cd93aeb138e849e9bca66dac9a81c7bc
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 1, Pp 1993-2008 (2023)
The paper took 12 groups of parent companies and subsidiaries as the samples, in which the property service companies, spun from the real estate companies, have successfully on the capital market. The research showed that the average abnormal return
Externí odkaz:
https://doaj.org/article/13f700172e884bd08791839039691939
Language models (LMs) are powerful yet mostly for text generation tasks. Tools have substantially enhanced their performance for tasks that require complex skills. However, many works adopt the term "tool" in different ways, raising the question: Wha
Externí odkaz:
http://arxiv.org/abs/2403.15452
Retrieval-augmented generation (RAG) can significantly improve the performance of language models (LMs) by providing additional context for tasks such as document-based question answering (DBQA). However, the effectiveness of RAG is highly dependent
Externí odkaz:
http://arxiv.org/abs/2403.09040
Language models (LMs) can solve tasks such as answering questions about tables or images by writing programs. However, using primitive functions often leads to verbose and error-prone programs, and higher-level functions require expert design. To ena
Externí odkaz:
http://arxiv.org/abs/2401.12869
On-the-fly retrieval of relevant knowledge has proven an essential element of reliable systems for tasks such as open-domain question answering and fact verification. However, because retrieval systems are not perfect, generation models are required
Externí odkaz:
http://arxiv.org/abs/2311.08377
A persistent challenge to table question answering (TableQA) by generating executable programs has been adapting to varied table structures, typically requiring domain-specific logical forms. In response, this paper introduces a unified TableQA frame
Externí odkaz:
http://arxiv.org/abs/2310.14687
Modern abstractive summarization models often generate summaries that contain hallucinated or contradictory information. In this paper, we propose a simple but effective contrastive learning framework that incorporates recent developments in reward l
Externí odkaz:
http://arxiv.org/abs/2307.04507
Autor:
Yu, Lijun, Cheng, Yong, Wang, Zhiruo, Kumar, Vivek, Macherey, Wolfgang, Huang, Yanping, Ross, David A., Essa, Irfan, Bisk, Yonatan, Yang, Ming-Hsuan, Murphy, Kevin, Hauptmann, Alexander G., Jiang, Lu
In this work, we introduce Semantic Pyramid AutoEncoder (SPAE) for enabling frozen LLMs to perform both understanding and generation tasks involving non-linguistic modalities such as images or videos. SPAE converts between raw pixels and interpretabl
Externí odkaz:
http://arxiv.org/abs/2306.17842