The paper delivers the first survey of abductive reasoning in LLMs, a unified two-stage taxonomy, a compact benchmark, and an analysis of gaps relative to deductive and inductive reasoning.
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New LLM-based models for fine-grained conditional probability estimation outperform prior fine-tuned and prompting methods through enhanced data creation and supervision.
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Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMs
The paper delivers the first survey of abductive reasoning in LLMs, a unified two-stage taxonomy, a compact benchmark, and an analysis of gaps relative to deductive and inductive reasoning.
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Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
New LLM-based models for fine-grained conditional probability estimation outperform prior fine-tuned and prompting methods through enhanced data creation and supervision.