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Home/Authors/Jasper Dekoninck

Jasper Dekoninck

1 indexed paper

Recent (6 mo)
1
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Publications per year

1
26

Top categories

NLP×1

Frequent co-authors

Hanno Hiss1×
Martin Vechev1×

Research Timeline

2026
Learning from Saturated Data: Signals Beyond Correctness for LLM Training

The paper proposes using fine-grained quality signals, such as pairwise self-judgments and token-level entropy, instead of simple binary correctness to improve LLM performance on saturated datasets, showing significant gains on simple tasks but requiring careful calibration for complex ones.

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Papers

cs.CLRecentMay 31, 2026

Learning from Saturated Data: Signals Beyond Correctness for LLM Training

Hanno Hiss, Jasper Dekoninck, Martin Vechev

The paper proposes using fine-grained quality signals, such as pairwise self-judgments and token-level entropy, instead of simple binary correctness to improve LLM performance on saturated datasets, s…

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