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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.
A new scheduling framework cuts LLM latency by over 10% while enhancing fairness, challenging the status quo of rigid scheduling policies.
