1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning
Wenhao Zhu, Pinzhen Chen, Hanxu Hu +4
Long-context modelling for large language models (LLMs) has been a key area of recent research because many real world use cases require reasoning over longer inputs such as docume…
cs.CL2024★ 1 cited
A Controlled Study on Long Context Extension and Generalization in LLMs
Yi Lu, Jing Nathan Yan, Songlin Yang +6
Broad textual understanding and in-context learning require language models that utilize full document contexts. Due to the implementation challenges associated with directly train…