Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language Models

1. 1Identify the limitations of using small language models for knowledge base completion and question answering
2. 2Explore the potential of combining large language models with small language models to leverage their strengths
3. 3Develop a framework to integrate the two models and enable joint training and inference
4. 4Evaluate the performance of the combined model on benchmark datasets and fine-tune as needed

AI researchers and engineers working on knowledge base-related tasks can benefit from this approach to improve the accuracy and efficiency of their models, and NLP engineers can apply these findings to develop more effective language models

💡 Combining large language models and small language models can lead to improved performance on knowledge base-related tasks

💡 Combining large & small language models can boost knowledge base completion & question answering #AI #NLP