2 papers
cs.DC2025
FlashRecovery: Fast and Low-Cost Recovery from Failures for Large-Scale Training of LLMs
Haijun Zhang, Jinxiang Wang, Zhenhua Yu +20
Large language models (LLMs) have made a profound impact across various fields due to their advanced capabilities. However, training these models at unprecedented scales requires e…
cs.CL2024
XL3M: A Training-free Framework for LLM Length Extension Based on Segment-wise Inference
Shengnan Wang, Youhui Bai, Lin Zhang +7
Length generalization failure problem, namely the large language model (LLM) fails to generalize to texts longer than its maximum training length, greatly restricts the application…