4 citations · 5 across the 7 of their papers we have counts for
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cs.CL2023★ 4 cited
Cache & Distil: Optimising API Calls to Large Language Models
Guillem Ramírez, Matthias Lindemann, Alexandra Birch +1
Large-scale deployment of generative AI tools often depends on costly API calls to a Large Language Model (LLM) to fulfil user queries. To curtail the frequency of these calls, one…
cs.CL2023
SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation
Matthias Lindemann, Alexander Koller, Ivan Titov
Strong inductive biases enable learning from little data and help generalization outside of the training distribution. Popular neural architectures such as Transformers lack strong…