Author

Jia-Rong Xing

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#machine learning Preprint May 2026

The Routing Plateau: Understanding the Accuracy Limits of LLM Routers

This analysis supports a correctness-prediction bottleneck hypothesis: current routers primarily learn global-average model performance trends rather than fine-grained, query-specific routing signals, and collectively fail on queries that require instance-specific routing decisions.

Yi-Fan Lu, Qi-Yue Zhang, Shen-Run Zhang et al. · 0 citations

#machine learning Preprint Sep 2026

Routing Without Embeddings: Fast And Interpretable Routing With Regular Expressions

RegEXROUTE is introduced, a pipeline that uses sparse autoencoders (SAEs) to discover interpretable regular-expression (regex) features and establishes explicit, interpretable text features as a practical basis for designing and understanding LLM routers.

Yi-Fan Lu, Qi-Yue Zhang, Haotian Shan et al. · 0 citations