Tag: adversarial machine learning
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1S-DAug: One-Shot Data Augmentation for Few-Shot AI
Discover 1S-DAug, a one-shot data augmentation method boosting few-shot learning accuracy by up to 20% without model retraining.
Scaling Laws of LLMs in Reinforcement Learning Post-Training
Explore how model size, data, and compute impact LLM reinforcement learning post-training, with insights on mathematical reasoning efficiency.
WARBERT: Advanced BERT Model for Web API Recommendations
Discover WARBERT, a hierarchical BERT-based model improving accuracy and efficiency in Web API recommendations for developers and microservices.
LLM-Enhanced Multi-View Learning for Cognitive Distortion Detection
Discover how LLMs and multi-view attention improve cognitive distortion detection in mental health NLP with enhanced reasoning and classification.
TriagerX: Dual Transformers Boost Bug Triaging Accuracy
TriagerX uses dual transformers for improved bug triaging with content and interaction-based rankings, enhancing developer recommendations by over 10%.