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Found 4 papers, 3 papers with code
Reproducing the Metric-Based Evaluation of a Set of Controllable Text Generation Techniques
Rerunning a metric-based evaluation should be more straightforward, and results should be closer, than in a human-based evaluation, especially where code and model checkpoints are made available by the original authors.
High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models
The performance of NLP methods for severely under-resourced languages cannot currently hope to match the state of the art in NLP methods for well resourced languages.
Data-to-text Generation for Severely Under-Resourced Languages with GPT-3.5: A Bit of Help Needed from Google Translate
LLMs like GPT are great at tasks involving English which dominates in their training data.
Genetic Improvement of Routing Protocols for Delay Tolerant Networks
We apply this methodology, in silico, to six test cases of urban networks made of hundreds of nodes, and find that GI produces consistent gains in delivery probability in four cases.
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