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Research & Development
Advancing ICU Blood Pressure Prediction with a Robust AI Framework
TLDR: A new AI framework for blood pressure prediction in ICU settings addresses common machine learning limitations by preventing data leakage, quantifying prediction uncertainty,...
Research & Development
Adaptive Prompt-tuning for Efficient Federated Learning
TLDR: FedDPG is a novel approach that combines prompt-tuning with federated learning to enhance the flexibility and efficiency of pre-trained language models. It introduces...
Research & Development
AI and Wikipedia Data Unite to Accelerate Metallic Glass Discovery
TLDR: This research introduces a novel AI-driven approach for discovering new metallic glasses (MGs), which are challenging to synthesize. The method uses graph neural...
Research & Development
Shaping AI’s Future: The Case for Democratic Involvement in Alignment
TLDR: The research paper "Justifications for Democratizing AI Alignment and Their Prospects" explores the normative problem of AI alignment – determining what values AI...
Research & Development
Enhancing AI’s Understanding of Real-World Locations
TLDR: A new research paper introduces a comprehensive framework to evaluate and reduce "geospatial hallucinations" in large language models (LLMs), where LLMs generate incorrect...
Research & Development
MOCHA: A New Benchmark Exposing Code LLM Vulnerabilities to Multi-Turn Attacks
TLDR: MOCHA is a new benchmark revealing that code LLMs are vulnerable to multi-turn malicious prompts, where harmful tasks are broken into seemingly benign...