Neuro-symbolic Causal Rule Synthesis for Safe AI Systems
Explore neuro-symbolic causal rule synthesis and verification to enhance AI safety and legal compliance in critical applications like autonomous driving.
TopBench: Benchmark for Implicit Prediction in Tabular QA
TopBench evaluates LLMs' implicit prediction and reasoning skills in tabular question answering, highlighting challenges in intent recognition and advanced...
Efficient German Language Modeling via High-Quality Data Filtering
Discover how high-signal data filtering and repetition improve sample-efficient German language modeling for better NLP performance.
PROMISE-AD: Advanced Multi-Horizon Alzheimer’s Progression Model
Discover PROMISE-AD, a cutting-edge model for accurate multi-horizon prediction and dynamic tracking of Alzheimer's disease progression.
Why AI Projects Fail: Key Factors Behind Abandonment
Explore the main reasons AI systems are abandoned before deployment, including ethics, resources, and legal challenges shaping AI development decisions.