An extensive evaluation shows that, on classification-style benchmarks, adding NLEs to few-shot prompts often improves accuracy over few-shot prompting without explanations; among NLE sources, externally generated LLM-NLEs often provide strong downstream utility and remain competitive with human rationales where both a...
Mahdi Dhaini, Adam Dejl, Juraj Vladika et al.· 0 citations
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
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
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