Yichen Zhou

Zero-shot in-context inference trained strictly on synthetic causal graphs can outperform fully tuned AutoML pipelines across diverse real-world tabular benchmarks.

Simple ensemble methods leveraging rich textual context can outperform state-of-the-art multimodal forecasting approaches on a new benchmark, TimesX, revealing hidden vulnerabilities in existing evaluations.