Author

Shengtao Wen

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#artificial intelligence Preprint Aug 2026

Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning

Privacy-preserving continual learning (PPCL) must reduce the reproduction of sensitive content while retaining useful knowledge across sequential tasks. Formal privacy guarantees characterize randomized mechanisms, whereas operational output control concerns whether a trained model selectively reduces the likelihood of...

Sheng-Tao Wen, Yun-Ying Yang, Xiang Chen et al. · 0 citations

Preprint Aug 2026

VARM-Bench: Benchmarking Verifiable Structured Reasoning in Chinese Abusive Speech Moderation

VARM-Bench provides an auditable and reproducible benchmark for evaluating verifiable moderation rationales in Chinese abusive-speech moderation, and shows that strong label-level performance can conceal substantial errors in complete moderation records.

Mingyu Yuan, Sheng-Tao Wen, Ling-Bing Guo et al. · 0 citations

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