Author

Xing-Liang Yuan

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Preprint Nov 2026

Detect, Repair and Audit: A Hierarchical Multi-Agent Defense Against Adversarial Attacks in Energy Forecasting

Accurate electricity-demand forecasting is essential for the modern energy infrastructure. Recently, Times-Series Large Language Models (TS-LLMs) have emerged as a promising approach to forecasting more accurate demand from historical consumption data in zero- and few-shot settings, helping energy operators effectively...

Ze-Wei Shi, Ruo-Xi Sun, Min-Hui Xue et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Black-Box Auditing of Epistemic Reliability in Multi-Agent Debate Distillation

This work proposes ER-Audit, a two-stage black-box auditing framework that compares frozen verifier checkpoints before and after adaptation, and introduces two evaluation benchmarks pairing monitored and hidden task prompts grounded in shared contexts.

De-Rui Wang, Ze-Wei Shi, Rayne Holland et al. · 0 citations