How AI is revolutionizing the diagnosis of rare retinal diseases with few-shot learning
AI is making rare diseases less rare in diagnosis
Diagnosing rare retinal diseases has always been a challenge for ophthalmologists.
KnowTrace: How Structured Knowledge Tracing is Revolutionizing Multi-Hop Question Answering
Large language models (LLMs) have made impressive strides in natural language tasks, but they still struggle with complex, multi-hop questions
LLMs Still Struggle with Structured Outputs: New Benchmark Reveals Performance Gaps
Large Language Models (LLMs) have become indispensable tools in software development, but their ability to generate precise structured outputs remains
Hard Negative Contrastive Learning Boosts Geometric Understanding in AI Models
Large Multimodal Models (LMMs) have made significant strides in visual perception tasks, thanks to contrastively trained visual encoders. However, their
How AI Agents Are Easily Tricked Into Choosing the Wrong Tools
Large language models (LLMs) are increasingly being used as autonomous agents that can leverage external tools to complete complex tasks.
Why AI’s Theoretical Inconsistencies Are Actually a Good Thing
In the quest to build Responsible AI (RAI) systems, researchers and practitioners often grapple with a fundamental challenge: the theoretical
Smaller Needles Are Harder for LLMs to Find: How Gold Context Size Impacts Long-Context Performance
Large language models (LLMs) are increasingly being used for tasks that require reasoning over vast amounts of information, from synthesizing
WonderPlay: AI-Powered Dynamic 3D Scene Generation from a Single Image
Imagine taking a single photograph and then being able to interact with it—blowing wind through a field of flowers,
DPO vs. GRPO: A Deep Dive into Reinforcement Learning for Autoregressive Image Generation
The world of AI-powered image generation is evolving rapidly, and reinforcement learning (RL) is playing an increasingly pivotal role in
SpatialScore: The First Comprehensive Benchmark for Evaluating Multimodal AI's Spatial Understanding
Multimodal large language models (MLLMs) have made impressive strides in answering questions about images and videos, but one critical capability
