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#natural language process... Preprint Oct 2026

Beyond Context Length: Characterising the Difficulty of Long-Context Reasoning

Long-context language models support ever longer context windows, and evaluations typically treat context length as the main indicator of difficulty. However, context length alone cannot explain why models fail on long-context tasks that require reasoning over complex information. Contexts of equal length can pose very...

Shi-Wen Qin, C. Barker, Henry Gouk et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Match the Canvas, Not Just the Answer: Predictability-Aware SFT for Diffusion Language Models

Diffusion language models (DLMs) enable flexible parallel generation by resolving tokens according to the model's evolving predictability rather than a fixed left-to-right order. This flexibility, however, introduces training choices absent from standard autoregressive teacher forcing: which reference tokens are visibl...

Miao Li, Han-Yang Jiang, Heng-Yu Fu et al. · 0 citations

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