arxiv
PublishedMay 22, 2026 at 4:00 AM
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Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
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arXiv:2401.00139v3 Announce Type: replace-cross Abstract: This paper introduces a causal attribution model to enhance the interpretability of large language models (LLMs) and improve their causal reasoning abilities via precise fine-tuning. Despite LLMs' proficiency in diverse tasks, their reasoning
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Originally published on arxiv ↗