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News/Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation
arxiv
PublishedApril 17, 2026 at 4:00 AM
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Shuffle the Context: RoPE-Perturbed Self-Distillation for Long-Context Adaptation

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2604.14339v1 Announce Type: new Abstract: Large language models (LLMs) increasingly operate in settings that require reliable long-context understanding, such as retrieval-augmented generation and multi-document reasoning. A common strategy is to fine-tune pretrained short-context models at th

Models mentioned
01
  • 01meta-llama logo
    Llama-3-8B
    meta-llama/Llama-3-8B
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Mentioned models
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  • 01
    Llama-3-8B
    meta-llama/Llama-3-8B
  • 02
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Tags
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#long-context#language-models#self-distillation#robustness

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Mentioned models
02
  • 01
    Llama-3-8B
    meta-llama/Llama-3-8B
  • 02
    Qwen-3-4B
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#long-context#language-models#self-distillation#robustness

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