The study examines two problems in aligning language models to human preferences using reward models. Firstly, it questions if a certain monotone transformation of the reward model can preserve preference…
Continue readingThe paper presents a new approach to crowdsourcing, leveraging self-supervised learning and a novel aggregation scheme. Instead of averaging estimates from crowdworkers, it adapts weights based on their previous estimates….
Continue readingThe paper discusses the role of hyperparameters in aggregation models in digital pathology. The authors highlight the potential bias in evaluation methods due to fixed aggregation model hyperparameters. They argue…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
