Koh Liang News Today : Breaking News, Live Updates & Top Stories | Vimarsana

[Special thank you to Ian Kivlichan for many useful pointers (E.g. the 100+ year old Nature paper “Vox populi”) and nice feedback. ]
High-quality data is the fuel for modern data deep learning model training. Most of task-specific labeled data comes from human annotation, such as classification task or RLHF labeling (which can be constructed as classification format) for LLM alignment training. Lots of ML techniques in the post can help with data quality, but fundamentally human data collection involves attention to details and careful execution. ....

United States , Aroyo Welty , Kohn Liang , Koh Liang , Mariya Toneva , Cohen Kappa Landis Koch , Chris Callison Burch , Neural Network Learning , A Survey Of Quality , Amazon Mechanical Turk , Machine Translation , Graph Modeling , Multi Annotator Competence Estimation , Variational Bayes , Gab Hate Corpus , Noisy Cross Validation , Iterative Noisy Cross Validation , Data Cascades , Evaluating Translation Quality Using Amazon , Contrasting Data Annotation Paradigms , Crowd Truth , Seven Myths , Agrees Is Not Gold , Evaluating Ground Truth Labels , Dialogue Content , Rater Disagreements ,