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cs.AI2024
'Explaining RL Decisions with Trajectories': A Reproducibility Study
Karim Abdel Sadek, Matteo Nulli, Joan Velja +1
This work investigates the reproducibility of the paper 'Explaining RL decisions with trajectories'. The original paper introduces a novel approach in explainable reinforcement lea…
cs.CL2024
Dynamic Vocabulary Pruning in Early-Exit LLMs
Jort Vincenti, Karim Abdel Sadek, Joan Velja +2
Increasing the size of large language models (LLMs) has been shown to lead to better performance. However, this comes at the cost of slower and more expensive inference. Early-exit…
cs.LG2024★ 1 cited
Algorithms for Caching and MTS with reduced number of predictions
Karim Abdel Sadek, Marek Elias
ML-augmented algorithms utilize predictions to achieve performance beyond their worst-case bounds. Producing these predictions might be a costly operation -- this motivated Im et a…