Author

Gjergji Kasneci

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Preprint Aug 2026

When Do Explanations Help In-Context Learning? A Comparative Study of Natural Language Explanation Types and Faithfulness

Natural language explanations (NLEs) are increasingly used as inputs, for example, as few-shot rationales that influence model behavior in in-context learning (ICL). However, it remains unclear how different types of NLEs compare in their effects on downstream model performance in explanation-augmented prompting. There...

Mahdi Dhaini, Adam Dejl, Juraj Vladika et al. · 0 citations

Jul 2026

Beyond Binary Rewards: A Comparative Study of Reward Design for Reinforcement Unlearning

A principled reward decomposition framework is introduced that decouples verifiability from sparsity, and two new reward functions are proposed: an exponential reward that provides graded penalties based on the count of forbidden-concept occurrences, and a PageRank inspired reward that weights penalties by semantic imp...

Efstratios Zaradoukas, Davide Gabrielli, Bardh Prenkaj et al. · arXiv.org · 1 citation