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Vision Hopfield Memory Networks1h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations1h◆Minimizing the Hidden Cost of Scales: Graph-Guided Ultra-Low-Bit Quantization for Large Language Models1h◆Insurance of Agentic AI1h◆Geographic Bias and Diversity in AI Evaluation1h◆Do Models Share Safety Representations? Cross-Model Steering for Safe Visual Generation1h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery1h◆Beyond Rewards in Reinforcement Learning for Cyber Defence1h◆Uncertainty Aware Functional Behavior Prediction and Material Fatigue Assessment for Circular Factory1h◆Residual Modeling for High-Fidelity Learned Compression of Scientific Data1h◆Mutation Without Variation: Convergence Dynamics in LLM-Driven Program Evolution1h◆How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment1h◆What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems1h◆GITCO: Gated Inference-Time Context Optimization in TSFMs1h◆SentinelBench: A Benchmark for Long-Running Monitoring Agents1h◆An interpretable and trustworthy AI framework for large-scale longitudinal structure-pain association studies using data from the Osteoarthritis Initiative (OAI)1h◆Brick-Composer: Using MLLMs for Assembly with Diverse Bricks1h◆Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety1h◆PSEBench: A Controllable and Verifiable Benchmark for Evaluating LLMs in Patient Safety Event Triage1h◆Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces1h◆Vision Hopfield Memory Networks1h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations1h◆Minimizing the Hidden Cost of Scales: Graph-Guided Ultra-Low-Bit Quantization for Large Language Models1h◆Insurance of Agentic AI1h◆Geographic Bias and Diversity in AI Evaluation1h◆Do Models Share Safety Representations? Cross-Model Steering for Safe Visual Generation1h◆MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery1h◆Beyond Rewards in Reinforcement Learning for Cyber Defence1h◆Uncertainty Aware Functional Behavior Prediction and Material Fatigue Assessment for Circular Factory1h◆Residual Modeling for High-Fidelity Learned Compression of Scientific Data1h◆Mutation Without Variation: Convergence Dynamics in LLM-Driven Program Evolution1h◆How Far Did They Go? The Persuasive Tactics of Covert LLM Agents in a Discontinued Field Experiment1h◆What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems1h◆GITCO: Gated Inference-Time Context Optimization in TSFMs1h◆SentinelBench: A Benchmark for Long-Running Monitoring Agents1h◆An interpretable and trustworthy AI framework for large-scale longitudinal structure-pain association studies using data from the Osteoarthritis Initiative (OAI)1h◆Brick-Composer: Using MLLMs for Assembly with Diverse Bricks1h◆Output Type Before Quality: A Standards-Derived XAI Admissibility Rubric for Autonomous-Driving Safety1h◆PSEBench: A Controllable and Verifiable Benchmark for Evaluating LLMs in Patient Safety Event Triage1h◆Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces1h◆
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