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GuoBinghui

1 accepted papers

2026

EntropyLong: Effective Long-Context Training via Predictive Uncertainty

ICLR 2026poster

Training long-context language models to capture long-range dependencies requires specialized data construction. Current approaches, such as generic text concatenation or heuristic-based variants, frequently fail to guarantee genuine long-range dependencies. We propose \textbf{EntropyLong}, a novel…

Cited by 0SourceScholar