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Shanshan Ye

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#machine learning Preprint Oct 2026

On Unlearning for Time-series Forecasting

Time-series forecasting is widely used in sensitive domains. Models in these settings are often trained on longitudinal user- or entity-level records, which may later require removal because they contain sensitive or proprietary information or have been corrupted by sensor failures. To address such deletion requests wi...

Ze-Yu Shi, Yan-Hui Luo, Zi-Ming Hong et al. · 0 citations
Book Open access Aug 2026

Training a Generalist Hallucination Detector across Multiple Domains via Adaptive Layer Aggregation

Stability-Aware Adaptive Layer Aggregation (SALA) defines a layer-wise instability index computed from the training data, which measures how separability varies across domains and provides an upper bound on the possible separability drop from training to test.

Xinyi Li, Zhen Fang, Yadan Luo et al. · 0 citations

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