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AI and Big Data in Global Health Improvement
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Explore groundbreaking research comparing LLMs with expert researchers in generating novel ideas, examining the potential and limitations of AI in accelerating scientific discovery through empirical evaluation.
Explore how large language models demonstrate social intelligence through intention understanding in gaming contexts, focusing on situational awareness, self-regulation, and theory of mind.
Explore the challenges AI faces in interpreting human laws and regulations. Gain insights into open-texturedness and its impact on normative rule systems for agent-level AI development.
Explore the importance of AI trustworthiness and source monitoring, and learn about knowledge graphs, AI assistants, and potential impacts on critical thinking.
Explore groundbreaking research challenging assumptions about language models' ability to learn impossible languages through systematic experiments with synthetic language variations and GPT-2.
Discover how large language models assist social work experts in analyzing millions of Twitter posts about homelessness through OATH-Frames, revealing crucial public attitude trends and policy insights.
Explore innovative approaches to modeling American Sign Language, enhancing recognition accuracy and addressing challenges in sign language research through linguistic knowledge infusion.
Explore AI's impact on industries, decision-making challenges, and human qualities machines can't replicate with insights from entrepreneur Karl Jacob.
Explore computational epidemiology's role in COVID-19, including agent-based models, smartphone data, and health misinformation monitoring. Learn about social justice in public health research.
Explore the current state and limitations of AI agents in automating digital tasks. Examine challenges in tool use, reasoning, and knowledge, and discover potential solutions for achieving true AI autonomy.
Explore AI's impact on society, autonomous vehicles, and careers with insights from psychology and personalization research.
Explore composable interventions for language models, enhancing accuracy and mitigating harmful outputs. Learn about interactions between different intervention types and their practical implications.
Explore innovative functional tokens for on-device multimodal AI models, enhancing accuracy and efficiency in function calling tasks while achieving remarkable performance across languages and modalities.
Explore adversarial training's impact on AI robustness and generative modeling. Gain insights into energy dynamics, robust overfitting, and the connection between robust classifiers and generative capabilities.
Explore AI applications in surgical education and social bias detection. Learn about multimodal deep-learning for surgical feedback analysis and a framework for inspecting stereotypes in generative AI.
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