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Junhyuk So

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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
#artificial intelligence Preprint Aug 2026

Beyond Confidence: Test-Time Scaling for Multi-Turn Search Agents via Retrieval Grounding

Retrieval-Grounded Voting (RGV), which scores each rollout by the lexical overlap between its final answer and the documents it retrieved, consistently outperforms confidence-based voting and identifies the underlying failure reason as copy inflation.

Hyunho Kook, Junhyuk So, Tianyu Fu et al. · 0 citations

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