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Author

Yong-Da Yu

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2 papers indexed here

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Open access Aug 2025

SynthCoder: Anti-pattern identification and model training for FIM mode code completion

This work introduces SynthCoder, which adopts optimized masking strategies better aligned with developer’s expectation in FIM, and first refine AST-level node masking and add heuristics that better mimic developers’ expectation to construct the training corpora.

Dong-Jun Yu, Xiao Yan, Zhen-Rui Li et al. · 1 citation
#artificial intelligence Preprint Sep 2026

ENDOPROMPT: Victim-Side Pseudo-References for Utility Degradation

ENDOPROMPT is a white-box method that learns utility-degrading prefixes from unlabeled instructions that yields a mean utility change of -26.8 percentage points across four instruction-tuned models and the complete splits of seven benign benchmarks.

Qing-Yuan Wu, Ze-Yu Feng, Yong-Da Yu et al. · 0 citations

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