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cs.LG2026
Efficient Test-Time Scaling for LLM-based Time Series Forecasting
Xuan-May Le, Minh-Tuan Tran, Ling Luo +3
Long-term time series forecasting benefits from preserving global structure such as trends and seasonality. Recent LLM-based forecasters often improve accuracy through test-time sc…
cs.LG2026
Softmax is not Enough (for Adaptive Conformal Classification)
Navid Akhavan Attar, Hesam Asadollahzadeh, Ling Luo +1
The merit of Conformal Prediction (CP), as a distribution-free framework for uncertainty quantification, depends on generating prediction sets that are efficient, reflected in smal…