Author

Kyuhong Shim

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Preprint Aug 2026

Dependency-Aware Revocable Decoding for Efficient Diffusion Large Language Model Inference

DARD is proposed, a training-free framework that separates tokens into masked, candidate, and unmasked states and adaptively regulates their influence on subsequent decoding, and consistently improves the speed-quality Pareto frontier over recent revocable decoding methods.

Woo-Soon Park, Insu Lee, Minyoung Noh et al. · 1 citation

#artificial intelligence Preprint Aug 2026

RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests

A six-category information taxonomy and four dimensions of linguistic style are defined and applied to real user prompts from SWE-chat and problem statements from SWE-bench Verified and Pro, finding that explicitly stating the desired behavior and motivation, which most real prompts omit, substantially improves the LLM's software engineering performance.

Gyuhyeong Kim, Hyojung Gwon, Jeonghyeon Kim et al. · 0 citations