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Found 3 papers, 1 papers with code
ItD: Large Language Models Can Teach Themselves Induction through Deduction
Although Large Language Models (LLMs) are showing impressive performance on a wide range of Natural Language Processing tasks, researchers have found that they still have limited ability to conduct induction.
From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs
With good explanatory power and controllability, rule-based methods play an important role in many tasks such as knowledge reasoning and decision support.
ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook
Black-box Large Language Models (LLMs) have shown great power in solving various tasks and are considered general problem solvers.
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