15 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
Extensible Embedding: A Flexible Multipler For LLM's Context Length
Ninglu Shao, Shitao Xiao, Zheng Liu +1
Large language models (LLMs) call for extension of context to handle many critical applications. However, the existing approaches are prone to expensive costs and inferior quality…
cs.CL2024
Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization
Ninglu Shao, Shitao Xiao, Zheng Liu +1
Large language models (LLMs) are in need of sufficient contexts to handle many critical applications, such as retrieval augmented generation and few-shot learning. However, due to…
cs.IR2022★ 15 cited
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer
Yujia Zhou, Jing Yao, Zhicheng Dou +3
Document retrieval has been extensively studied within the index-retrieve framework for decades, which has withstood the test of time. Unfortunately, such a pipelined framework lim…