Author

Yi Chang

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#machine learning Preprint Oct 2026

FORGE: Verification-Gated Behavioral Repair for Generative Language Models

Generative large language models (LLMs) inherit undesirable behaviors from pre-training, including demographic bias and toxic generation, that often emerge only after deployment and affect a small subset of inputs. A repair should eliminate the identified defect, preserve the model's overall functionality and, ideally,...

Hsin-Ling Hsu, Min-Yue Chen, Nai-Chia Chen et al. · 0 citations

#artificial intelligence Preprint Aug 2025

From Isolation to Alignment: Unified LoRA for Efficient Multi-Task Learning

This work reveals a paradox where a simplified, router-free multi-head model with high inter-head redundancy outperforms complex, diversity-driven baselines and proposes Align-LoRA, a unified and efficient framework that shifts the focus from architectural isolation to representation alignment.

Jinda Liu, Bo Cheng, Yi Chang et al. · 1 citation