arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals...
Read moreDetailsView a PDF of the paper titled xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token, by Xin Cheng...
Read moreDetailsView a PDF of the paper titled Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models, by Taiqiang Wu...
Read moreDetailsarXiv:2412.05167v1 Announce Type: cross Abstract: Large Audio-Language Models (LALMs) have unclocked audio dialogue capabilities, where audio dialogues are a direct...
Read moreDetailsarXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals...
Read moreDetailsAuthors:Xinyu Zhao, Guoheng Sun, Ruisi Cai, Yukun Zhou, Pingzhi Li, Peihao Wang, Bowen Tan, Yexiao He, Li Chen, Yi Liang,...
Read moreDetailsView a PDF of the paper titled Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes,...
Read moreDetailsView a PDF of the paper titled How to Build an AI Tutor that Can Adapt to Any Course and...
Read moreDetailsView a PDF of the paper titled CultureLLM: Incorporating Cultural Differences into Large Language Models, by Cheng Li and 4...
Read moreDetailsView a PDF of the paper titled Discovering influential text using convolutional neural networks, by Megan Ayers and 3 other...
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