AI
SCOPE: A Generative Approach for LLM Prompt Compression
Researchers have proposed a new framework called SCOPE for compressing input prompts to large langua...
AI
SKILL-RAG: Self-Knowledge Induced Learning and Filtering for Retrieval-Augmented Generation
Researchers have proposed a new method called SKILL-RAG to improve the performance of large language...
AI
Perseus: Interactive Time Series Segmentation with Sparse Supervision via Stateful Memory
Researchers have developed a new framework called Perseus for segmenting time series data. Unlike pr...
AI
Significant Other AI: Identity, Memory, and Emotional Regulation as Long-Term Relational Intelligence
A new type of artificial intelligence, called Significant Other Artificial Intelligence (SO-AI), is ...
AI
Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes
Researchers have developed an AI model that uses electrocardiogram (ECG) data to...
AI
MeltwaterBench: Deep learning for spatiotemporal downscaling of surface meltwater
Researchers have developed a deep learning model to create high-resolution maps ...
AI
AgentOCR: Reimagining Agent History via Optical Self-Compression
Researchers have developed AgentOCR, a framework that uses visual tokens to repr...
AI
GroupSegment-SHAP: Shapley Value Explanations with Group-Segment Players for Multivariate Time Series
Researchers have proposed a new method for explaining the predictions of multiva...