| Proj No. | A3028-251 |
| Title | Finetuning Large Language Models for Knowledge Graph–Based Retrieval and Reasoning |
| Summary | This project focuses on finetuning large language models to enhance knowledge-based retrieval by generating precise graph queries (e.g., Cypher, SPARQL) for structured databases. By improving the accuracy of query generation, the models can retrieve more relevant information and support stronger reasoning capabilities, including generating coherent explanations. The developed approach will be systematically evaluated on established knowledge-based question answering benchmarks such as MovieQA and WebQSP, providing measurable insights into retrieval quality, reasoning depth, and explainability. |
| Supervisor | A/P Chen Lihui (Loc:S1 > S1 B1C > S1 B1C 96, Ext: +65 67904484) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | IEM Workshop (Loc: S2.2-B4-04) |
| Single/Group: | Single |
| Area: | Digital Media Processing and Computer Engineering |
| ISP/RI/SMP/SCP?: |