Author

Adam Dejl

Imperial College London

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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

#artificial intelligence Preprint Aug 2026

Embedding Models for Stance-Aware Argument Retrieval

This paper introduces diagnostic word-ablation metrics to quantify this phenomenon and proposes a data-centric solution that can alleviate the observed overcorrection in stance-aware argument retrieval and demonstrates that, for sufficiently powerful models, this approach can alleviate the observed overcorrection.

Angelo Sparacino, Francesca Toni, Adam Dejl · 0 citations

#artificial intelligence Preprint Aug 2026

A Theory of Post-hoc Debate Judgement

This study develops and test a novel theory of debate judgement applicable to all settings where agents engage in debates by providing pros and cons for their opinions therein and indicates argumentation semantics as an ideal candidate for principled judges in debate-driven AI.

Xiang Yin, Adam Dejl, Antonio Rago et al. · 0 citations