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Hyunho Kook

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#machine learning Preprint Oct 2026

SoloQ: Calibration-Free Quantization for Diffusion Language Models

Diffusion large language models dLLMs) have emerged as a promising alternative to autoregressive language models through bidirectional diffusion-based token generation. However, their growing model sizes and high inference costs make efficient deployment challenging: full-sequence denoising repeatedly invokes compute-i...

Donghyun Lee, Arkapravo Ghosh, Varun Manjunath et al. · 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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