Topic
68t01
Knowledge-graph topic · documents ABOUT 68t01 across the archive
Documents about 68t01
- Semantic Mobile Base Station Placement#152948arXiv (OAI)
- Fragility of Value under Imperfect Alignment#650964arXiv (OAI Expanded)
- Fragility of Value under Imperfect Alignment#652417arXiv (All)
- Mathematics in the age of AI#623039arXiv (OAI Expanded)
- Mathematics in the age of AI#625312arXiv (All)
- AI Consciousness is Inevitable: A Theoretical Computer Science Perspective#189031arXiv
- AI Consciousness is Inevitable: A Theoretical Computer Science Perspective#189081arXiv Biology
- AI Consciousness is Inevitable: A Theoretical Computer Science Perspective#189131arXiv (OAI Expanded)
- AI Consciousness is Inevitable: A Theoretical Computer Science Perspective#189181arXiv (OAI)
- Freeze, Diffuse, Decode: Task-Aware Adaptation of Transformer Embeddings for Antimicrobial Peptide Design#821745arXiv (All)
- Reflection-aware Generative Novel View Synthesis#972309arXiv (All)
- Beyond Depth Truncation: Controlled Evaluation of Depth Utilization in Recursive Language Models#1014979arXiv (All)
- A counterfactual analysis of the dishonest casino#190592Spiral
- Fast, close, non-singular and property-preserving approximations of entropic measures#163132arXiv (OAI)
- Frontier AI Forecasting Has a Measurement Problem: An Audit of Progress Evidence#609320arXiv (OAI Expanded)
- PyKEEN-NSX: A Modular Framework for Static, Dynamic and Schema-Aware Negative Sampling in PyKEEN#808716arXiv (OAI Expanded)
- PyKEEN-NSX: A Modular Framework for Static, Dynamic and Schema-Aware Negative Sampling in PyKEEN#818708arXiv (All)
- PERO: Efficient Robust Post-Training Foundation Models for Encrypted Traffic Classification#616166arXiv (OAI Expanded)
- PERO: Efficient Robust Post-Training Foundation Models for Encrypted Traffic Classification#616666arXiv (All)
- A Regulatory Placebo? The Systemic Failure of Mandatory GenAI Labeling#622788arXiv (OAI Expanded)
- A Regulatory Placebo? The Systemic Failure of Mandatory GenAI Labeling#625061arXiv (All)
- Fundamental Mathematics in the Age of AI -- The Residue, the Journey, and the Ecology#793850arXiv (All)
- Measuring Model-Induced Discrimination via Efficient Fairness Approximation#972865arXiv (All)
- Who Benefits from AI? Self-Selection, Skill Gap, and the Hidden Costs of AI Feedback#155505arXiv (OAI)
- A Two-step Metropolis Hastings Method for Bayesian Empirical Likelihood Computation with Application to Quantile Regression and Bayesian Model Selection#674101arXiv (OAI Expanded)
- A Two-step Metropolis Hastings Method for Bayesian Empirical Likelihood Computation with Application to Quantile Regression and Bayesian Model Selection#677298arXiv (All)
- SH-PDOPS: AI-Driven Cloud Native Enterprise Reliability Framework for Predictive Analytics and Intelligent DevOps Automation#927513arXiv (All)
- CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis#661318arXiv (OAI Expanded)
- CPC-CMS: Cognitive Pairwise Comparison Classification Model Selection Framework for Document-level Sentiment Analysis#662368arXiv (All)
- Why we need an AI-resilient society- Profiling Large Language Models#999611arXiv (All)
- Creating an Atomic User Model for Personality-Aware Large Language Model Interaction#1012348arXiv (All)
- Assured AI-Native Network Control Loops: State of the Art, Research Challenges and the Missing Runtime Assurance Layer#999978arXiv (All)
- Unveiling Hidden Threats: Using Fractal Triggers to Boost Stealthiness of Distributed Backdoor Attacks in Federated Learning#974259arXiv (All)
- AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization#177010arXiv (OAI)
- Auditing Bias and Safety in Voice AI Customer Care#927509arXiv (All)
- Report of the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science#779377arXiv (OAI Expanded)
- Report of the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science#780752arXiv (All)
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