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Found 7 papers, 2 papers with code
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI
In the dynamic landscape of generative NLP, traditional text processing pipelines limit research flexibility and reproducibility, as they are tailored to specific dataset, task, and model combinations.
Efficient Benchmarking of Language Models
The increasing versatility of language models (LMs) has given rise to a new class of benchmarks that comprehensively assess a broad range of capabilities.
Active Learning for Natural Language Generation
In this paper, we present a first systematic study of active learning for NLG, considering a diverse set of tasks and multiple leading selection strategies, and harnessing a strong instruction-tuned model.
nBIIG: A Neural BI Insights Generation System for Table Reporting
We present nBIIG, a neural Business Intelligence (BI) Insights Generation system.
Zero-Shot Text Classification with Self-Training
Recent advances in large pretrained language models have increased attention to zero-shot text classification.
Diversity Enhanced Table-to-Text Generation via Type Control
Generating natural language statements to convey logical inferences from tabular data (i. e., Logical NLG) is a process with one input and a variety of valid outputs.
You Better Look Twice: a new perspective for designing accurate detectors with reduced computations
This method can be applied on other object detection applications in scenes with a considerable amount of background and variate object sizes to reduce computations.
