AI
When Do LLMs Actually Help? Evaluating LLMs as Data Quality Annotators
Researchers evaluated the effectiveness of large language models (LLMs) as data quality annotators. ...
AI
Are LLMs Safe Beyond Text: Do Emojis Expose Gaps in Safety Evaluation
Researchers have evaluated the safety of four large language models (LLMs) using emoji-augmented pro...
AI
What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems
Researchers have been exploring the parallels between medicine and artificial intelligence. A recent...
AI
A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities
A recent review of machine learning techniques used in autism research has identified trends and cha...
AI
Bound-Aware Per-Organ Recall Risk Control for Multi-Organ CT Segmentation under Clinical Domain Shift
Researchers have proposed a method for ensuring accurate segmentation of multipl...
AI
GigaBrain-WBC-0.5: A Behavior World Model for Robust Whole-Body Control with Environment Interaction
Researchers have developed GigaBrain-WBC-0.5, a Behavior World Model for humanoi...
AI
Bidirectional representational alignment between biological and artificial neural networks
Researchers have found a way to improve the alignment between how artificial neu...
AI
Visual-Prompt Guided Wildlife Instance-Level Recognition
Researchers have proposed a one-stage end-to-end model for fine-grained wildlife...