. . . . "Synergizing LLMs and Knowledge Graphs: A Novel Approach to Software Repository-Related Question Answering" . . . . . . . . "This method proposes a unified framework for software repository question answering by synergizing LLMs and KGs. It involves a Knowledge Graph Constructor, an LLM-based Query Generator to translate natural language questions into Cypher queries, a Query Executor, and an LLM-based Response Generator to synthesize answers using retrieved KG facts. The LLM acts as an agent interacting with the KG for reasoning and response generation." . "Synergized Repository-Related QA System" . . . . "This method enhances the Synergized Repository-Related QA System by incorporating few-shot chain-of-thought prompting into the Query Generator LLM. This technique guides the LLM to generate step-by-step reasoning paths, significantly improving its ability to accurately interpret complex relationships within the knowledge graph and generate more precise Cypher queries, thereby boosting overall reasoning performance." . "Synergized Repository-Related QA System with Few-Shot Chain-of-Thought Prompting" . . . "GPT-4o-search-preview" . . "MSRBot" . . . "2026-02-26T16:30:56.765Z"^^ . . . "LLM-KG assessment for paper 10.48550/arXiv.2412.03815" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAwNz2QK3SEifno78S7+48zUB0xpTex3mAzW73ZimHqNcdEMU5/apslrGrTHGFAt/Chocgo++r6JQp5ygY7NyJHGWdaIqnt85pjX4PbNfLAvapyUO00qZP34fY61w4eZ9UMtleWEsmZKRtQPyJ8ODl46i/rfPuZlcJGpM9Nmy5mpGWuepqIEvF4a/t7pLVeCEDFSYXT+yaiygt6ynIK5f7TtEDhZpeUf/Q74WhMPJXm4yTU/hqOX4IW+50kWHNArGGZwUaXwzyG6M3Zd6UMModryGkLqS4H/MSE3ZA1Ylnms7BfWLEXhMWlaKi6HRV4nGRDLhxVSi9LSRi3LWKLhNIIQIDAQAB" . "n1CQux9qTPFJ/6WjOBK9el79x4wSZSJs5Mt0TnOrovgFCo4z/VvswfX7Tx+MYLNlb5qiivvAnqZDzM5olS0jg7Gwt7nQMIhIrdeb1tyPso+oShJJXOYQC80kvfA5Na14QaY/C9MHs+xAu4Q9wE96IqCxiDai7wIHKM8MdNe3oRZgah/mZ5jdjd7mve7vq5Wt8erXE3bKxzJSd09kZUJ7WqaZnGFP+j3BWmNO6NnlaShj5NeXLrbjFLd+uDO/l4WOQo3nizAYg89RiSZnX/wGkzAZ4qFPYcMEY/voQTe+MujaXz8Z2PP0ggJCacK0i33S0nyvPI83jGKnVdl3hkiz0A==" . . .