https://w3id.org/np/RAi_53mSPRrWhLngRPhQ1YKoR_fxmjeCUqmYB-doqX6Do
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sub:assertion {
<https://doi.org/10.48550/arXiv.2503.11657> a prov:Entity;
dct:title "Scaling Natural-Language Graph-Based Test Time Compute for Automated Theorem Proving";
<http://purl.org/spar/cito/describes> <https://neverblink.eu/ontologies/llm-kg/methods#KGProver>;
<http://purl.org/spar/cito/discusses> <https://neverblink.eu/ontologies/llm-kg/methods#DeepMath>,
<https://neverblink.eu/ontologies/llm-kg/methods#DeepSeekProverV1.5>, <https://neverblink.eu/ontologies/llm-kg/methods#FormalTheoremProvingByHierarchicalDecomposition>,
<https://neverblink.eu/ontologies/llm-kg/methods#GPTf>, <https://neverblink.eu/ontologies/llm-kg/methods#GraFormer>,
<https://neverblink.eu/ontologies/llm-kg/methods#GraphRetriever>, <https://neverblink.eu/ontologies/llm-kg/methods#HOList>,
<https://neverblink.eu/ontologies/llm-kg/methods#HyperTreeProofSearch>, <https://neverblink.eu/ontologies/llm-kg/methods#InternLM2.5StepProver>,
<https://neverblink.eu/ontologies/llm-kg/methods#LeanDojo>, <https://neverblink.eu/ontologies/llm-kg/methods#MUSTARD>,
<https://neverblink.eu/ontologies/llm-kg/methods#QAGNN>, <https://neverblink.eu/ontologies/llm-kg/methods#RetrievalAugmentedGenerationBaseline>,
<https://neverblink.eu/ontologies/llm-kg/methods#STP>, <https://neverblink.eu/ontologies/llm-kg/methods#TheoremLlama> .
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rdfs:label "DeepMath" .
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rdfs:label "DeepSeek-Prover-V1.5" .
<https://neverblink.eu/ontologies/llm-kg/methods#FormalTheoremProvingByHierarchicalDecomposition>
a <http://purl.org/spar/fabio/Workflow>;
rdfs:label "Formal Theorem Proving by Hierarchical Decomposition" .
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rdfs:label "GPT-f" .
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rdfs:label "GraFormer" .
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rdfs:label "GraphRetriever" .
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rdfs:label "HOList" .
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rdfs:label "HyperTree Proof Search" .
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rdfs:label "InternLM2.5-StepProver" .
<https://neverblink.eu/ontologies/llm-kg/methods#KGProver> a <http://purl.org/spar/fabio/Workflow>;
dct:subject <https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMInference>;
rdfs:comment "KG-Prover is a novel framework that uses a knowledge graph (KG) mined from mathematical texts to augment general-purpose LLMs during the inference stage for automated theorem proving. It involves iterative KG traversal for context retrieval, informal proof generation by the LLM, formal proof generation, and verification/refinement with Lean feedback. The method enhances LLM performance by providing relevant knowledge dynamically at test-time without requiring additional finetuning.";
rdfs:label "KG-Prover";
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rdfs:label "LeanDojo" .
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rdfs:label "MUSTARD" .
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rdfs:label "QAGNN" .
<https://neverblink.eu/ontologies/llm-kg/methods#RetrievalAugmentedGenerationBaseline>
a <http://purl.org/spar/fabio/Workflow>;
rdfs:label "Retrieval Augmented Generation (RAG) Baseline" .
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rdfs:label "STP" .
<https://neverblink.eu/ontologies/llm-kg/methods#TheoremLlama> a <http://purl.org/spar/fabio/Workflow>;
rdfs:label "TheoremLlama" .
}
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