Author

Hyunwoo J. Kim

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Preprint Aug 2026

SSDi8: Accurate and Efficient 8-bit Quantization for State Space Duality

SSDi8 is presented, the first post-training quantization framework specifically designed for SSD to maintain a persistent INT8 path, and introduces a reformulation that decouples element-wise multiplications from matrix multiplications, enabling reuse of quantized activations across modules.

Hyunwoo J. Kim, Byoungchan Ko, Minseok Kang et al. · 3 citations · ⚡1

#machine learning Mar 2026

LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models

This work introduces LIBERO-Para, a controlled benchmark that independently varies action expressions and object references for fine-grained analysis of linguistic generalization in VLA models, and proposes PRIDE, a metric that quantifies paraphrase difficulty using semantic and syntactic factors.

Chanyoung Kim, Minwoo Kim, Minseok Kang et al. · arXiv.org · 7 citations · ⚡2

Preprint Aug 2026

Prune Once: Retraining-Free Task-Agnostic Pruning for Vision-Language Models

A retraining-free VLM pruning framework called PORTA is introduced that derives a task- and modality-agnostic importance formulation based on activation variation, estimated from generic calibration data, which reliably captures feature-level representation utility across modalities.

Minseok Kang, Hyunwoo J. Kim, Chanyoung Kim et al. · 1 citation