How LLMs Can Explicitly Express Uncertainty
Discover how large language models (LLMs) improve accuracy by explicitly expressing uncertainty with global confidence and local signaling methods.
Formal Verification Reveals AI Code Security Flaws
Study finds 55% of AI-generated code has security vulnerabilities, highlighting risks and need for better verification in AI coding assistants.
Spec Kit Agents: AI-Driven Context-Grounded Workflows
Discover how Spec Kit Agents improve AI coding workflows with context-grounding hooks for better software development performance and reliability.
Region-R1: Advanced Query-Side Cropping for Multi-Modal Ranking
Discover how Region-R1 improves multi-modal re-ranking by dynamically cropping query regions, boosting retrieval accuracy on E-VQA and InfoSeek benchmarks.
Improving TabDDPM for Realistic Time-Series Data Generation
Discover how extending TabDDPM with temporal adapters boosts synthetic time-series data quality and preserves temporal dependencies effectively.