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Think in Latent, Explain in Language: Self-Explainable Latent Reasoning
Jason Dayuan, Author2, Author3, Author4, Author5
latent reasoningexplainabilitymultimodalefficiency
2608.13570
Builder Relevance
1h ago80%
Abstract
This paper presents a unified framework for Self-Explainable Latent Reasoning (SELR) that combines efficient latent reasoning with inherent explainability.
Reality Card
Core Claim
SELR achieves superior token efficiency and accuracy while providing self-contained explainability without the need for external decoders.
Method / Result
SELR demonstrates improved token efficiency and accuracy compared to baseline models.
Limitations
The paper does not specify potential limitations regarding the reproducibility of the results.
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