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Found 4 papers, 0 papers with code
Leveraging Expectation Maximization for Identifying Claims in Low Resource Indian Languages
Furthermore, we used different ratios of manually labeled data and weakly labeled data to train our various machine learning models.
Can LLMs Generate Architectural Design Decisions? -An Exploratory Empirical study
In our exploratory study, we utilize GPT and T5-based models with 0-shot, few-shot, and fine-tuning approaches to generate the Decision of an ADR given its Context.
Multilingual Bias Detection and Mitigation for Indian Languages
Next, we investigate the effectiveness of popular multilingual Transformer-based models for the two tasks by modeling detection as a binary classification problem and mitigation as a style transfer problem.
JU_NLP at HinglishEval: Quality Evaluation of the Low-Resource Code-Mixed Hinglish Text
In this paper we describe a system submitted to the INLG 2022 Generation Challenge (GenChal) on Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text.
