Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dai, Ruiting"'
Recently, prompt learning has garnered considerable attention for its success in various Vision-Language (VL) tasks. However, existing prompt-based models are primarily focused on studying prompt generation and prompt strategies with complete modalit
Externí odkaz:
http://arxiv.org/abs/2409.04693
Emergent Large Language Models (LLMs) use their extraordinary performance and powerful deduction capacity to discern from traditional language models. However, the expenses of computational resources and storage for these LLMs are stunning, quantizat
Externí odkaz:
http://arxiv.org/abs/2406.16299
Commonsense question answering has demonstrated considerable potential across various applications like assistants and social robots. Although fully fine-tuned pre-trained Language Models(LM) have achieved remarkable performance in commonsense reason
Externí odkaz:
http://arxiv.org/abs/2405.05616
Inferring geographic locations via social posts is essential for many practical location-based applications such as product marketing, point-of-interest recommendation, and infector tracking for COVID-19. Unlike image-based location retrieval or soci
Externí odkaz:
http://arxiv.org/abs/2306.07935
Autor:
Dai, Ruiting (Dan)1 (AUTHOR), Ding, Hui2 (AUTHOR) dinghui@sjtu.edu.cn, Zhang, X. Frank1 (AUTHOR)
Publikováno v:
Journal of Accounting, Auditing & Finance. Jan2024, p1.