Author

Dongseok Lee

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#artificial intelligence May 2026

LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training

This work proposes LaRA, a layer-wise representation analysis framework for detecting contamination in RL post-trained LLMs and finds that contamination produces progressive geometric deviations across layers, including amplified perturbation sensitivity, stronger directional collapse, and enhanced local rigidity.

Minju Gwak, Minseok Kwak, Dongseok Lee et al. · arXiv.org · 0 citations

#computer vision Preprint Aug 2026

LookBack: Where and How to Score LVLM Responses via Visual Reference Usage

LookBack, a training-free LVLM response scoring method that augments token likelihood with visual lookback score, a lightweight measure of how strongly each response token refers to image tokens, consistently improves Best-of-$N$ selection over existing baselines with negligible additional overhead.

Beomsik Cho, Jin-Ha Kim, Dongseok Lee et al. · 0 citations