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Titlebook: Accountable and Explainable Methods for Complex Reasoning over Text; Pepa Atanasova Book 2024 The Editor(s) (if applicable) and The Author

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發(fā)表于 2025-3-23 12:26:58 | 只看該作者
Accountable and Explainable Methods for Complex Reasoning over Text
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發(fā)表于 2025-3-23 15:17:55 | 只看該作者
Accountable and Explainable Methods for Complex Reasoning over Text978-3-031-51518-7
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發(fā)表于 2025-3-23 20:24:14 | 只看該作者
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發(fā)表于 2025-3-24 01:25:00 | 只看該作者
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發(fā)表于 2025-3-24 04:15:10 | 只看該作者
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發(fā)表于 2025-3-24 08:05:21 | 只看該作者
Teoria infettiva e agenti patogenig. We experiment with two benchmark datasets, namely LIAR-PLUS and PubHealth. We show that our model generates explanations that are fluent, readable, non-redundant, and cover important information for the fact check (The content in this chapter has been reprinted, with permission, from the original
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發(fā)表于 2025-3-24 13:23:12 | 只看該作者
Epidemiologia e fattori di rischiox and achieve the best performance with an architecture that specifically models reasoning over evidence pieces in combination with in-domain transfer learning (The content in this chapter has been reprinted, with permission, from the original work in Ostrowski et al. (.)).
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發(fā)表于 2025-3-24 15:49:55 | 只看該作者
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發(fā)表于 2025-3-24 22:42:09 | 只看該作者
Teoria infettiva e agenti patogeni quality of generated explanations. A joint model is implemented for task prediction and explanation generation, with each diagnostic property serving as an additional training objective. Experiments on three reasoning tasks show that optimizing for diagnostic properties not only improves those prop
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發(fā)表于 2025-3-25 01:02:42 | 只看該作者
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