https://w3id.org/np/RArK6wV1lccoEjvnpW90mGbdcgqRslzKtl7USDyogx1KQ/Head https://w3id.org/np/RArK6wV1lccoEjvnpW90mGbdcgqRslzKtl7USDyogx1KQ http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RArK6wV1lccoEjvnpW90mGbdcgqRslzKtl7USDyogx1KQ/assertion https://w3id.org/np/RArK6wV1lccoEjvnpW90mGbdcgqRslzKtl7USDyogx1KQ http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RArK6wV1lccoEjvnpW90mGbdcgqRslzKtl7USDyogx1KQ/provenance https://w3id.org/np/RArK6wV1lccoEjvnpW90mGbdcgqRslzKtl7USDyogx1KQ http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RArK6wV1lccoEjvnpW90mGbdcgqRslzKtl7USDyogx1KQ/pubinfo https://w3id.org/np/RArK6wV1lccoEjvnpW90mGbdcgqRslzKtl7USDyogx1KQ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RArK6wV1lccoEjvnpW90mGbdcgqRslzKtl7USDyogx1KQ/assertion https://doi.org/10.48550/arXiv.2601.13806 http://purl.org/dc/terms/title Knowledge Graph-Assisted LLM Post-Training for Enhanced Legal Reasoning https://doi.org/10.48550/arXiv.2601.13806 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#iracKgAssistedLlmPostTraining https://doi.org/10.48550/arXiv.2601.13806 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#directPreferenceOptimization https://doi.org/10.48550/arXiv.2601.13806 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#graphOfThoughts https://doi.org/10.48550/arXiv.2601.13806 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#graphRAG https://doi.org/10.48550/arXiv.2601.13806 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#supervisedFineTuning https://doi.org/10.48550/arXiv.2601.13806 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#treeOfThoughts https://doi.org/10.48550/arXiv.2601.13806 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#directPreferenceOptimization http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#directPreferenceOptimization http://www.w3.org/2000/01/rdf-schema#label Direct Preference Optimization https://neverblink.eu/ontologies/llm-kg/methods#graphOfThoughts http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#graphOfThoughts http://www.w3.org/2000/01/rdf-schema#label Graph-of-Thoughts https://neverblink.eu/ontologies/llm-kg/methods#graphRAG http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#graphRAG http://www.w3.org/2000/01/rdf-schema#label GraphRAG https://neverblink.eu/ontologies/llm-kg/methods#iracKgAssistedLlmPostTraining http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#KGEnhancedLLMPretraining https://neverblink.eu/ontologies/llm-kg/methods#iracKgAssistedLlmPostTraining http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#iracKgAssistedLlmPostTraining http://www.w3.org/2000/01/rdf-schema#comment This method proposes a comprehensive approach where a specialized IRAC (Issue, Rule, Analysis, Conclusion) Knowledge Graph is constructed and subsequently used to generate high-quality training data. 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