Author

Junyoung Lee

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#machine learning Preprint Oct 2026

ResidualQuant: KV Cache Quantization for Looped Transformers with 2-Bit Residuals

Looped Transformers improve parameter efficiency by repeatedly applying shared Transformer blocks over multiple recurrent loops, increasing computational depth without increasing the parameter count. However, KV cache memory still scales with the number of loops, becoming a key memory bottleneck that limits batch size...

Hee-jung Kim, Junyoung Lee, SangLyul Cho et al. · 0 citations

#small language model Preprint Aug 2026

FOCUS&RePAIR: Mitigating Text Degeneration via Token-Level Guidance for Pruned Large Language Models

A token-level analysis of this failure mode is presented by viewing decoding as a dynamical process that enters and persists in a small set of recurrent contexts and shows that persistence is controlled by the escape mass assigned to plausible alternatives within the token sampling set.

Junyoung Lee, Se-Hee Park, Shinhyoung Jang et al. · 0 citations