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S. Choi

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Preprint Sep 2026

Recovering Aggressively Pruned Vision-Language-Action Models with Offline Hidden-State Distillation

Vision-language-action (VLA) models let robots follow language instructions, but their language backbones of several billion parameters are the main obstacle to running them on robot hardware. Structured pruning reduces that backbone, and removing 63% of it from OpenVLA-OFT drops LIBERO-Long success from 93.2% to 0.8%....

Chiyoung Kim, S. Choi, Minhyeok Lee · 0 citations
#artificial intelligence Preprint Sep 2026

Where Does the Sound Go? Tracing Acoustic Information Loss in Audio-Conditioned LLMs

Audio-conditioned language models often underuse acoustic cues such as prosody, emotion, and non-speech sounds, raising the question of whether ASR-supervised frontends discard this information before it reaches the LM. We test whether the frontend is responsible by comparing Whisper-Tiny and Whisper-Small with EnCodec...

Song-ha Jo, Sehyun Lee, Soyoon Kim et al. · 0 citations
Conference Jul 2026

The Layer Transferability Profile: Mapping Feature Hierarchies in Pretrained Vision Models

Transfer learning with ImageNet-pretrained backbones is ubiquitous in computer vision, yet the question of which intermediate layer best serves a downstream task is typically resolved by convention rather than controlled measurement. Despite the prevalence of this practice, no systematic comparison of layer-wise frozen...

Sanghyuk Roy Choi, Chanhoe Gu, S. Kim et al. · 0 citations

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