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Dynamic System Inspired Continuous Large Language Model for AI4Science Tasks
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continuous learningscientific language modelsdynamical systemsparameter reuse
2610.26959
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2h ago70%
Abstract
This paper introduces Continuum-LM, a continuous-depth language model that improves performance on scientific tasks by reusing pretrained residual transformations as dynamical operators.
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Core Claim
Continuum-LM improves mean exact-match accuracy by 7.77 and 10.96 percentage points over discrete counterparts at the 0.6B and 1.7B scales, respectively.
Method / Result
Achieved a 10.96 percentage point improvement in accuracy at the 1.7B scale.
Limitations
The paper does not specify the authors or provide detailed reproducibility guidelines.
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