most citedYou May Not Need Order in Time Series Forecasting

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cs.LG2025

Lightweight Safety Guardrails via Synthetic Data and RL-guided Adversarial Training

Aleksei Ilin, Gor Matevosyan, Xueying Ma +5

We introduce a lightweight yet highly effective safety guardrail framework for language models, demonstrating that small-scale language models can achieve, and even surpass, the pe…

cs.LG2019★ 2 cited

You May Not Need Order in Time Series Forecasting

Yunkai Zhang, Qiao Jiang, Shurui Li +3

Time series forecasting with limited data is a challenging yet critical task. While transformers have achieved outstanding performances in time series forecasting, they often requi…