Author

Dong Liang

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Preprint Aug 2026

Knowing but Not Saying: Preventing Factual Access Failures in LLM SFT via Recall-Anchored Distillation

Recall-Anchored Distillation (RAD), a base-anchored self-distillation objective that preserves out-of-distribution generation behavior by aligning the adapted model with the original base model's soft continuation distribution on unlabeled OOD text, is introduced.

Hao-Dong Chen, Yadong Wang, Shengtao Wen et al. · 0 citations

#artificial intelligence Review Open access Oct 2025

Large Language Model for Verilog Code Generation: Literature Review and the Road Ahead

This review provides a systematic literature review of LLM-based Verilog code generation, analyzing 102 papers (70 published and 32 high-quality preprints) from SE, AI, and EDA venues and outlines a roadmap highlighting potential opportunities in LLM-assisted hardware design.

Guang Yang, Wei Zheng, Xiang Chen et al. · ACM Computing Surveys · 11 citations · ⚡1