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Eunhyeok Park

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#natural language process... Preprint Sep 2026

LoopCD: Loop-wise Contrastive Decoding for Improving Reasoning in Looped Language Models

LoopCD, loop-wise contrastive decoding that enhances the reasoning performance of LoopLMs by intervening on these tokens at inference time by exploiting the internal dynamics of LoopLMs and contrast the logits from earlier iterations with logits from the last refined iteration to form the final sampling distribution.

Byeongho Yu, Junhyuk So, Eunhyeok Park · 0 citations
Open access Feb 2025

Fspgd: rethinking black-box attacks on semantic segmentation

Findings establish FSPGD as a principled and practical framework for advancing black-box adversarial attacks in semantic segmentation, consistently outperforming conventional logit-level methods as well as recent segmentation-specific baselines such as SegPGD, CosPGD, and RP-PGD.

Eunhyeok Park, MiSo Park, Yong-Goo Shin · 0 citations

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