Skip to content

Author

Ling Luo

We have 2 of 17 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Aug 2026

Efficient Test-Time Scaling for LLM-based Time Series Forecasting

SCALER is a coarse-to-fine forecasting framework that first employs a lightweight Transformer tailored to long-term shape modeling to predict a coarse representation of future dynamics, and reduces reliance on long description prompts, and its fixed-step refinement avoids costly reward-model-based selection, further lo...

Xuan-May Le, Minh-Tuan Tran, Ling Luo et al. · 0 citations
Book Open access Aug 2026

Efficient Test-Time Scaling for LLM-based Time Series Forecasting

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 scaling (e.g., iterative refinement), but these methods are computationally expensive and increasingly prone to global-shape mismatch as the p...

Xuan-May Le, Minh-Tuan Tran, Ling Luo et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.