FlexRouter selects complementary LLMs to improve answer coverage

A diversity-aware router outperformed independent model selection on RouterEval while adapting the number of models invoked for each query.

Big Tech
Wang Wei · Harry Yang · Tiankai Yang · Samyadeep Basu · Hongjie Chen · Andy Zhao · +3 more

Virginia Tech · Independent Researcher · University of Southern California · Adobe Research · Dolby Labs

Research Digest··3 min read
Wei and colleagues recast LLM routing as selecting a complementary set of models rather than ranking each model independently.

The authors model routing with a determinantal point process, a probability distribution over subsets that rewards both individual quality and diversity.

Why this paper

From Adobe Research and 4 others

In one line

FlexRouter improves LLM ensemble answer coverage and reduces redundant calls by selecting complementary, variable-size model subsets with determinantal point processes.

What we could check

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