2026
Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity
ICML 2026poster
Large Language Models are commonly benchmarked on a dataset by evaluating all relevant models on all queries in the test set. This can be wasteful for a practitioner who wants to find the best model to deploy—if a model clearly performs worse than others, there is no need to precisely estimate its p…