The Cantor Experiment: Forcing a GPT-5-Class AI to Forget a Century of Math
✍️Prompt Engineering
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Modelling beliefs about sets
⚡LLM Optimization
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An Approach to Artificial Sentience
✍️Prompt Engineering
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Team Builds Computer Prototype Designed To Make AI More Efficient - News Center
news.utdallas.edu·2d
⚡Model Efficiency
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Thought Branches: Interpreting LLM Reasoning Requires Resampling
arxiv.org·1d
⚡LLM Optimization
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AI and Emotional Forecasting: Predicting Consumer Sentiment for Smarter Marketing
🔍AI Interpretability
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Engineering.ai: A Platform for Teams of AI Engineers in Computational Design
arxiv.org·23h
🔍AI Interpretability
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Visual Backdoor Attacks on MLLM Embodied Decision Making via Contrastive Trigger Learning
arxiv.org·1d
🤖AI
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Modulation of temporal decision-making in a deep reinforcement learning agent under the dual-task paradigm
arxiv.org·23h
✍️Prompt Engineering
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Algorithmic Assistance with Recommendation-Dependent Preferences
arxiv.org·23h
✍️Prompt Engineering
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Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation
arxiv.org·23h
✍️Prompt Engineering
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Reasoning Models Sometimes Output Illegible Chains of Thought
arxiv.org·1d
✍️Prompt Engineering
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AI-Driven Predictive Hazard Mitigation via Dynamic Structural Health Monitoring
🔍AI Interpretability
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Isotropic Curvature Model for Understanding Deep Learning Optimization: Is Gradient Orthogonalization Optimal?
arxiv.org·23h
⚡LLM Optimization
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Enhanced Anomaly Detection in Cryogenic Storage Unit Operations via Multi-Modal Data Fusion and Predictive Analytics
⚡LLM Optimization
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Automated Figure-Text Alignment & Knowledge Extraction for Scientific Literature
🔍AI Interpretability
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LLMs Position Themselves as More Rational Than Humans: Emergence of AI Self-Awareness Measured Through Game Theory
arxiv.org·23h
🔍AI Interpretability
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