Tag: adversarial machine learning
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Effective Hallucination Detection Using Proxy Analyzers
Discover how proxy-analyzer activations improve hallucination detection in large language models, boosting accuracy across multiple architectures.
Fine-Tuning LLMs with Synthetic Data for Gaming Toxicity
Discover how synthetic data boosts large language models for multi-class toxicity detection in gaming chat, improving moderation and online safety.
Closed-Form Linear-Probe Dataset Distillation for Vision Models
Discover CLP-DD, a fast, efficient dataset distillation method for pre-trained vision models, boosting performance with less GPU memory and compute.
HyperEyes: Efficient Dual-Grained AI for Multimodal Search
Discover HyperEyes, a dual-grained reinforcement learning framework enhancing efficiency and accuracy in parallel multimodal AI search agents.
Adaptive Negative Reinforcement Boosts LLM Reasoning Accuracy
Discover how Adaptive Negative Sample Reinforcement enhances Large Language Models by balancing error correction and reasoning diversity in RLVR training.