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cs.LG2024
MoD: A Distribution-Based Approach for Merging Large Language Models
Quy-Anh Dang, Chris Ngo
Large language models (LLMs) have enabled the development of numerous specialized, task-specific variants. However, the maintenance and deployment of these individual models presen…
cs.CL2024
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
Khai Le-Duc, Quy-Anh Dang, Tan-Hanh Pham +1
Knowledge graphs (KGs) enhance the performance of large language models (LLMs) and search engines by providing structured, interconnected data that improves reasoning and context-a…