Unverified50% confidenceFactExact time
TEFM adopts a dual-fidelity objective, simultaneously optimizing two levels: code-level reconstruction and prediction-level fidelity.
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9/11/2026
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UnverifiedTEFM (Token-Efficient Faithful Modeling) is a framework proposed in a recently published arXiv paper, aimed at simultaneously addressing token efficiency and faithfulness in structured data modeling.69% similarUnverifiedEmbedding models use a bi-encoder architecture and reranking models use a cross-encoder architecture, together forming a two-stage 'coarse retrieval + fine ranking' architecture for RAG systems.62% similarUnverifiedReAct范式在需要多步信息整合的任务上被证明显著优于单纯的CoT推理，成为LangChain、LlamaIndex等主流Agent框架的核心设计思路59% similarUnverifiedFor LLM inference scenarios, the most pragmatic strategy is to delegate compute-intensive tasks to the C layer via FFM, rather than relying on the Vector API.59% similarUnverified可通过vLLM、TGI等高性能推理框架部署开放权重模型，并用LoRA等参数高效微调技术定制58% similar
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