Online learningfromHackernoon7 months agoDirect Nash Optimization Beats Bigger Models with Better Data | HackerNoonOffline contrastive training provides more valuable signals for model performance than traditional supervised fine-tuning methods.
fromHackernoon1 year agoEnhancing Rhetorical Role Labeling with Training-Time Neighborhood Learning | HackerNoonDiscourse-aware contrastive loss significantly enhances embedding performance by better organizing sentence relationships.