Author

Dahyun Lee

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#natural language process... Open access Oct 2026

DPA-MoE: A Runtime Precision Control Framework for MoE Inference

Mixture-of-Experts (MoE) models reduce computation by routing each token to a small set of experts, but each selected expert is still used at a fixed precision. We present DPA-MoE, a runtime precision control framework that makes routed experts any-precision. DPA-MoE encodes expert feed-forward weights as prefix-decoda...

Jaeyun Kim, Hoonki Lee, Su-Mi Shin et al. · Conference on Empirical Meth... · 0 citations

#artificial intelligence Preprint Oct 2026

Continually Post-training Small Models via Synthetic Self-distillation

Continual post-training faces a dual challenge of acquisition and retention: models must learn new capabilities while preserving prior knowledge. While Self-Distillation Fine-Tuning (SDFT) mitigates this using self-supervision with in-context demonstrations, it relies on strong in-context learning and instruction-follo...

Woosung Koh, Hyunsoo Lee, Kyungjae Lee et al. · 0 citations