Large language models still struggle to tell fact from opinion, analysis finds
techxplore.com·16h
🧠OpenAI
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AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
arxiv.org·1d
🧠OpenAI
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Active transfer learning for structural health monitoring
arxiv.org·2d
🔬scikit-learn
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Diagnosing Hallucination Risk in AI Surgical Decision-Support: A Sequential Framework for Sequential Validation
arxiv.org·1d
🧠OpenAI
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Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
arxiv.org·2h
🧠OpenAI
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Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering
arxiv.org·1d
🔍Grad-CAM
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Feature-Guided Analysis of Neural Networks: A Replication Study
arxiv.org·1d
🔍Grad-CAM
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Thought-For-Food: Reasoning Chain Induced Food Visual Question Answering
arxiv.org·1d
🧠OpenAI
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A Machine Learning-Based Framework to Shorten the Questionnaire for Assessing Autism Intervention
arxiv.org·2d
🧠OpenAI
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Balanced Multimodal Learning via Mutual Information
arxiv.org·1d
🔍Grad-CAM
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Automated Multi-Modal Knowledge Graph Scoring for Cohort-Based Retrospective Analytics
📊Data Science
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InsurAgent: A Large Language Model-Empowered Agent for Simulating Individual Behavior in Purchasing Flood Insurance
arxiv.org·2h
🧠OpenAI
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