Hybrid Model Improves Lesion Segmentation in Fundus Images
Discover a hybrid approach combining deep learning and clustering to enhance lesion segmentation accuracy in fundus images for better eye disease diagnosis...
MARCH Benchmark: Advancing Ambiguity in Multi-hop Inference
Discover MARCH, a new benchmark evaluating ambiguity interpretation in multi-hop inference, highlighting AI challenges and the CLARION framework.
Boost AI Accuracy with Structured Reflection for Tool Use
Improve AI tool interactions by using structured reflection to diagnose errors and enhance multi-turn accuracy and reliability in large language models.
Neuro-Symbolic AI in Cybersecurity: Advances & Challenges
Explore the latest advances, challenges, and future opportunities of Neuro-Symbolic AI in enhancing cybersecurity defenses and threat detection.
Balancing Ethical Reasoning and Safety in Large Language Models
Explore how TRIAL and ERR frameworks improve ethical reasoning and safety alignment in Large Language Models to prevent harmful outputs.