Zobrazeno 1 - 10
of 2 460
pro vyhledávání: '"Bihui An"'
Autor:
Liang, Hao, Sun, Linzhuang, Wei, Jingxuan, Huang, Xijie, Sun, Linkun, Yu, Bihui, He, Conghui, Zhang, Wentao
In recent years, with the rapid advancements in large language models (LLMs), achieving excellent empathetic response capabilities has become a crucial prerequisite. Consequently, managing and understanding empathetic datasets have gained increasing
Externí odkaz:
http://arxiv.org/abs/2407.21669
In recent years, with the rapid advancements in large language models (LLMs), achieving excellent empathetic response capability has become a crucial prerequisite. Consequently, managing and understanding large-scale video datasets has gained increas
Externí odkaz:
http://arxiv.org/abs/2407.01937
Autor:
Tan, Cheng, Wei, Jingxuan, Sun, Linzhuang, Gao, Zhangyang, Li, Siyuan, Yu, Bihui, Guo, Ruifeng, Li, Stan Z.
Large language models equipped with retrieval-augmented generation (RAG) represent a burgeoning field aimed at enhancing answering capabilities by leveraging external knowledge bases. Although the application of RAG with language-only models has been
Externí odkaz:
http://arxiv.org/abs/2405.20834
Knowledge distillation, transferring knowledge from a teacher model to a student model, has emerged as a powerful technique in neural machine translation for compressing models or simplifying training targets. Knowledge distillation encompasses two p
Externí odkaz:
http://arxiv.org/abs/2404.14827
Web browsers have been used widely by users to conduct various online activities, such as information seeking or online shopping. To improve user experience and extend the functionality of browsers, practitioners provide mechanisms to allow users to
Externí odkaz:
http://arxiv.org/abs/2404.06827
In the fields of computer vision and natural language processing, multimodal chart question-answering, especially involving color, structure, and textless charts, poses significant challenges. Traditional methods, which typically involve either direc
Externí odkaz:
http://arxiv.org/abs/2404.01548
Autor:
Dong, Wei, Zhang, Xing, Chen, Bihui, Yan, Dawei, Lin, Zhijun, Yan, Qingsen, Wang, Peng, Yang, Yang
Parameter-efficient fine-tuning for pre-trained Vision Transformers aims to adeptly tailor a model to downstream tasks by learning a minimal set of new adaptation parameters while preserving the frozen majority of pre-trained parameters. Striking a b
Externí odkaz:
http://arxiv.org/abs/2403.19067
Rational Sensibility: LLM Enhanced Empathetic Response Generation Guided by Self-presentation Theory
The development of Large Language Models (LLMs) provides human-centered Artificial General Intelligence (AGI) with a glimmer of hope. Empathy serves as a key emotional attribute of humanity, playing an irreplaceable role in human-centered AGI. Despit
Externí odkaz:
http://arxiv.org/abs/2312.08702
Knowledge distillation, a technique for model compression and performance enhancement, has gained significant traction in Neural Machine Translation (NMT). However, existing research primarily focuses on empirical applications, and there is a lack of
Externí odkaz:
http://arxiv.org/abs/2312.08585
The continuous development of artificial intelligence has a profound impact on biomedicine and other fields, providing new research ideas and technical methods. Brain-inspired computing is an important intersection between multimodal technology and b
Externí odkaz:
http://arxiv.org/abs/2312.07213