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Showing 391–420 of 439
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Game theory of academic effort and hiring in the age of AI
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FOCUS: Active Critic Learning for Long-Horizon Language Model Agents
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Quantifying Claim Smoothing by LLM Research Agents
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Atomic Security Concerns: Towards a Foundational Language for Security Knowledge Representation
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A Unified Arena for LLM Agents across Diverse Eurogame
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Free to Look, Free to Reason: Simple LLM Harnesses Outdiagnose Hand-Crafted Root Cause Analysis Agents
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Improving Signals, Declining Encoder: A Known-Answer Test of Label-Free Monitoring in Self-Supervised Learning
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Beyond Physical Illness: Can Clinical Narratives Reveal Emerging Mental Health Risks in Chronically Ill Patients?
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CLOSURE: Cross-Channel Closure for Multivariate Time Series Anomaly Detection
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Model Selection for Off-Policy Evaluation via Pairwise Bellman Validation
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LUCID: Local Understanding of Covariate Importance with Conditional Density Estimation
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Preference-Guided Cooperation in Multi-Objective Multi-Agent Reinforcement Learning
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Multi-Objective Reinforcement Learning Using Routed Ensembles and Trajectory Attribution
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The Watchtower Imperative: Lifespan-Calibrated Evaluation for Frontier AI
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Can JEV Support Clinical Trial Criteria Assessment?
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Quantitative Generalization Bounds for Multi-Layer Transformers: A Few Long Strings can Beat Many Short Ones
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Detecting bus delays and service anomalies in Niterói with autoencoder latent feature representations
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Explainable Multimodal AI Approach to Reduce Unnecessary Breast Biopsies
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MiRL: Error-Targeted Reinforcement Learning for Correcting Terminal Agent Misbehaviors
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Towards a Unified Framework of Optimal Input-Side Dimensional Configuration for Deep CTR Prediction
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Not One Belief: Answer Payloads, Persistence, and Dissociated Confidence Signals in Conversational Question Answering
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EvoRouter: Cost-Efficient Multi-Agent Routing via Insight-Guided On-Policy Distillation
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OmniShowcase: Omnidirectional Subject-Consistent Video Generation from Multi-View Images
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CounterFlow: Target-Conditioned Flow Matching for Visual Counterfactuals
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Theft of AI equipment hits $150m in 2026, with fraud responsible for 92% of incidents – reportAI equipment theft hits $150m in 2026, 92% of cases fraudCargo risk firm Overhaul reports AI equipment theft reached $150 million in 2026, with fraud responsible for 92% of incidents. Reports of stolen data center equipment are up 34 percent since 2024.
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SCAFFOLD under Hessian Similarity: Sharp Convergence Rates
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A Hybrid Framework for Explainable Aviation Risk: Causal Chain Extraction from Safety Reports with Physics-Based Failure Quantification and Interventional Analysis
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Provably Efficient Q-learning for Robust Reinforcement Learning
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Improving JEV Entailment Reranking with Span Readouts and Selective Adaptation
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TRON: Transferring Naturally Evolved Network Architectures into Neuroevolution