Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models
An agentic reasoning approach for enhancing robustness and reducing hallucinations in vision-language models.
Jul 1, 2025
Transformer
A comprehensive lecture on Transformer architectures and attention mechanisms for graduate students.
Mar 19, 2025
ORCA: Agentic Reasoning For Hallucination and Adversarial Robustness in Vision-Language Models
An agentic reasoning framework for improving factual accuracy and adversarial robustness in vision-language models.
Jan 15, 2025
Agentic Reasoning for Robust Vision Systems via Increased Test-Time Compute
A training-free agentic reasoning framework achieving 40% accuracy gains on visual reasoning benchmarks through increased test-time compute.
Jan 15, 2025
Towards Interpretable Adversarial Examples via Sparse Adversarial Attack
Sparse adversarial attack for generating interpretable adversarial examples.
Jan 1, 2025
On Accelerating Edge AI: Optimizing Resource-Constrained Environments
A comprehensive survey on accelerating deep learning for edge AI deployment.
Jan 1, 2025
Neurosymbolic Artificial Intelligence for Robust Network Intrusion Detection: From Scratch to Transfer Learning
A neurosymbolic AI framework for robust network intrusion detection with uncertainty quantification.
Jan 1, 2025
Neurosymbolic AI for network intrusion detection systems: A survey
A comprehensive survey of neurosymbolic AI approaches for network intrusion detection systems.
Jan 1, 2025
Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression
Comparing fine-tuning vs distillation for LLM compression in edge AI deployment.
Jan 1, 2025
Mitigating Large Vision-Language Model Hallucination at Post-hoc via Multi-agent System
Oct 1, 2024