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Found 3 papers, 1 papers with code
Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection
Either a cascading strategy is used, where a smaller LLM or both are called sequentially, or a routing strategy is used, where only one model is ever called.
Cache & Distil: Optimising API Calls to Large Language Models
To curtail the frequency of these calls, one can employ a smaller language model -- a student -- which is continuously trained on the responses of the LLM.
On a Novel Application of Wasserstein-Procrustes for Unsupervised Cross-Lingual Learning
We believe that our rethinking of the Wasserstein-Procrustes problem could enable further research, thus helping to develop better algorithms for aligning word embeddings across languages.
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