Publications | Dr. Brian Jalaian's Website

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Featured Publications

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

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

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

Ai Optimization

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

Ai Optimization

On Accelerating Edge AI: Optimizing Resource-Constrained Environments

A comprehensive survey on accelerating deep learning for edge AI deployment.

Jan 1, 2025

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🔬 Selected Publications by Research Area

Recent Publications

Chung-en (Johnny) Yu, Brian Jalaian, Nathaniel D Bastian (2025). Hydra: An Agentic Reasoning Approach for Enhancing Adversarial Robustness and Mitigating Hallucinations in Vision-Language Models. arXiv preprint arXiv:2504.14395.

Chung-en (Johnny) Yu, Brian Jalaian, Nathaniel D Bastian (2025). Agentic Reasoning for Robust Vision Systems via Increased Test-Time Compute. arXiv preprint arXiv:2509.16343.

Chung-en (Johnny) Yu, Hsuan-Chih (Neil) Chen, Brian Jalaian, Nathaniel D Bastian (2025). ORCA: Agentic Reasoning For Hallucination and Adversarial Robustness in Vision-Language Models. arXiv preprint arXiv:2509.15435.

Jacob Sander, David Moe, Achraf Cohen, Brent Venable, Venkat Dasari, Brian Jalaian (2025). Constrained Edge AI Deployment: Fine-Tuning vs Distillation for LLM Compression. arXiv preprint arXiv:2505.18166.

Alice Bizzarri, Chung-en (Johnny) Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D Bastian (2025). Neurosymbolic AI for network intrusion detection systems: A survey. J. Inf. Secur. Appl..

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Publications

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

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

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

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

Neurosymbolic AI for network intrusion detection systems: A survey

A comprehensive survey of neurosymbolic AI approaches for network intrusion detection systems.

Jan 1, 2025

See all publications