Tag: auditory large language models
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Adaptive Conformal Prediction to Boost LLM Factual Accuracy
Enhance large language model outputs with adaptive conformal prediction for improved factuality and reliable AI-generated content.
GLOW: Hybrid LLM-GNN System for Open-World KGQA
Discover GLOW, a hybrid LLM-GNN system enhancing open-world question answering over incomplete knowledge graphs with superior reasoning and accuracy.
ASTER: Unsupervised Time-Series Anomaly Detection Using Latent Pseudo-Anomalies
Discover ASTER, an innovative unsupervised framework generating latent pseudo-anomalies for enhanced time-series anomaly detection with LLM integration.
MAGE: Corpus-Free Unlearning for Large Language Models
Discover MAGE, a memory-graph guided framework enabling corpus-free unlearning in large language models to protect data privacy and maintain performance.
Training-Free Test-Time Contrastive Learning for LLMs
Boost large language models' reasoning with training-free test-time contrastive learning, improving performance without extra training or heavy computation...