Papers by Christophe Bouvard

1 papers
Generalising LLM Routing using Past Performance Retrieval: A Few-Shot Router is Sufficient (2026.eacl-srw)

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Challenge: Large Language Models (LLMs) use a single LLM to perform tasks.
Approach: They propose a meta-evaluation framework that predicts per-model performance for new queries by retrieving similar past queries and reweighting model scores with lightweight attention.
Outcome: The proposed framework matches the quality–cost trade-offs of generalisable routers across five routing benchmarks.

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