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News/For What Reason? Interpreting Models' Encoding of Causation and Antithesis
arxiv
PublishedJuly 22, 2026 at 4:00 AM
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For What Reason? Interpreting Models' Encoding of Causation and Antithesis

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arXiv:2607.18570v1 Announce Type: cross Abstract: Discourse relations provide document structure, critical to language understanding and enabling language model performance and ethicality. In this work, we investigate how instruction-tuned Transformer models (LLaMA and Mistral) encode discourse rela

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