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This work formulate expert-cache management as a model-side algorithmic problem and proposes cache-aware post-training that jointly adapts the MoE backbone and lightweight auxiliary routers while preserving the native inference-time Top-K rule.
This work designs Finance-LaTeX SKILL, a skill for synthesizing financial documents with complex layouts based on expert knowledge, and introduces FinanceComplexQA, a comprehensive open-ended generation benchmark for financial documents that closely resembles real-world scenarios.
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