most citedTraining-Free Long-Context Scaling of Large Language Models

2 citations · 3 across the 2 of their papers we have counts for

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cs.CL2024★ 1 cited

Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark

Zhikun Xu, Yinghui Li, Ruixue Ding +7

How to better evaluate the capabilities of Large Language Models (LLMs) is the focal point and hot topic in current LLMs research. Previous work has noted that due to the extremely…

cs.CL2024★ 2 cited

Training-Free Long-Context Scaling of Large Language Models

Chenxin An, Fei Huang, Jun Zhang +4

The ability of Large Language Models (LLMs) to process and generate coherent text is markedly weakened when the number of input tokens exceeds their pretraining length. Given the e…