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cs.CL2024
Efficient Knowledge Injection in LLMs via Self-Distillation
Kalle Kujanpää, Pekka Marttinen, Harri Valpola +1
In many practical applications, large language models (LLMs) need to acquire new knowledge not present in their pre-training data. Efficiently leveraging this knowledge usually rel…
cs.CL2023
Improved Compositional Generalization by Generating Demonstrations for Meta-Learning
Sam Spilsbury, Pekka Marttinen, Alexander Ilin
Meta-learning and few-shot prompting are viable methods to induce certain types of compositional behaviour. However, these methods can be very sensitive to the choice of support ex…