Author

Woosung Koh

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#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

#artificial intelligence Preprint Sep 2026

Language Models Can Control Their Own Attention

Declarative Attention is introduced, a protocol that elicits the model to declare where it needs to attend within its chain-of-thought, partitioning generation into three modes:(full context),(a specific region), and(recent output only).

Namgyu Ho, Huzama Ahmad, Woosung Koh et al. · 1 citation