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Found 5 papers, 3 papers with code
Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs
Pre-trained Text-to-Text Language Models (LMs), such as T5 or BART yield promising results in the Knowledge Graph Question Answering (KGQA) task.
Large Language Models Meet Knowledge Graphs to Answer Factoid Questions
Recently, it has been shown that the incorporation of structured knowledge into Large Language Models significantly improves the results for a variety of NLP tasks.
Deep learning Framework for Mobile Microscopy
Mobile microscopy is a promising technology to assist and to accelerate disease diagnostics, with its widespread adoption being hindered by the mediocre quality of acquired images.
Multi-fidelity Neural Architecture Search with Knowledge Distillation
The method relies on a new approach to low-fidelity evaluations of neural architectures by training for a few epochs using a knowledge distillation.
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing
In this work, we step outside the computer vision domain by leveraging the language modeling task, which is the core of natural language processing (NLP).
