Drift vs Selection in LLM Text Ecosystems Explained
Explore how drift and selection shape AI text corpora, impacting quality and evolution in large language models and their training data.
GNN-as-Judge: Enhancing Graph Learning with LLM Feedback
Discover how GNN-as-Judge boosts graph learning by combining LLMs and GNNs for reliable pseudo labels and reduced noise in low-resource settings.
Automated Biomedical Metadata Standardization with LLMs
Enhance biomedical metadata quality using ontology-constrained LLMs with real-time vocabulary queries for improved FAIR data compliance.
Unbiased Fix for Fake Orders in Sequential Recommenders
Discover DITaR, a method to rectify fake orders in sequential recommender systems, boosting accuracy, efficiency, and robustness without retraining.
VerifAI: Open-Source AI for Accurate Biomedical QA
Discover VerifAI, an open-source AI search engine delivering verified, accurate biomedical question answers with advanced retrieval and claim validation.