Author

Chanyoung Kim

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#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 Jul 2026

QWERTY: Training-Free Motion Control via Query-Warped Video Diffusion Transformers

QWERTY is introduced, a training-free framework that enables flexible motion control in pretrained image-to-video DiTs via user-defined object warping and optical flow and achieves the most effective motion control among existing training-free approaches on a recent image-to-video DiT, with performance comparable to fi...

K. Choo, Young Min Kim, Hyunkyung Han et al. · 0 citations

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