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cs.LG2024
WeShap: Weak Supervision Source Evaluation with Shapley Values
Naiqing Guan, Nick Koudas
Efficient data annotation stands as a significant bottleneck in training contemporary machine learning models. The Programmatic Weak Supervision (PWS) pipeline presents a solution…
cs.CL2024
AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs
Sana Ebrahimi, Kaiwen Chen, Abolfazl Asudeh +2
Pre-trained Large Language Models (LLMs) have significantly advanced natural language processing capabilities but are susceptible to biases present in their training data, leading…
cs.LG2024
ActiveDP: Bridging Active Learning and Data Programming
Naiqing Guan, Nick Koudas
Modern machine learning models require large labelled datasets to achieve good performance, but manually labelling large datasets is expensive and time-consuming. The data programm…