In long-context LLM serving, accuracy becomes speed via retry dynamics, and accuracy-aware routing reduces time-to-correct-answer.
Okazaki et al.Building a Large Japanese Web Corpus for Large Language Models
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An open-data pipeline constructs heterogeneous graphs from OSM, computes five social impact scores per bridge, applies UMAP+HDBSCAN clustering to find archetypes, and uses domain-tuned LLMs to generate policy interpretations.
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Accuracy Is Speed: Towards Long-Context-Aware Routing for Distributed LLM Serving
In long-context LLM serving, accuracy becomes speed via retry dynamics, and accuracy-aware routing reduces time-to-correct-answer.
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Heterogeneous Graph Importance Scoring and Clustering with Automated LLM-based Interpretation
An open-data pipeline constructs heterogeneous graphs from OSM, computes five social impact scores per bridge, applies UMAP+HDBSCAN clustering to find archetypes, and uses domain-tuned LLMs to generate policy interpretations.