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We present chain-of-knowledge (CoK), a novel framework that augments large language models (LLMs) by dynamically incorporating grounding information from heterogeneous sources.
The measurement of observer agreement for categorical data
J Richard Landis and Gary G Koch · 1977
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KQA pro: A dataset with explicit compositional programs for complex question answering over knowledge base
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Palm: Scaling language modeling with pathways
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Scaling instruction-finetuned language models
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Findings of the 2022 conference on machine translation (WMT22)
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Learn to explain: Multimodal reasoning via thought chains for science question answering
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Chain of hindsight aligns language models with feedback
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Augmented large language models with parametric knowledge guiding
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Fact-checking complex claims with program-guided reasoning
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UnifiedSKG: Unifying and multi-tasking structured knowledge grounding with text-to-text language models
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Self-consistency improves chain of thought reasoning in language models
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