Who Bears the Burden? Learning Responsibility for Shared Constraints in Multi-Agent Reinforcement Learning
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New papers, breakthroughs and academic AI research
Adapting to Changes in Agent Behavior via Finite-Depth Policy Sensitivity
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GIVE-KWS: Gated Injection of Visual Evidence for Noise-Robust Query-by-Example Keyword Spotting
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Harmful SFT Leaves a Continuous Trace in LLM Checkpoint Updates
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SpecBraM: What Should an EEG Foundation Model Predict? Masked Band-Power Prediction versus Waveform Reconstruction
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Smart Content Ingestion for Generative AI Workloads
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Forecasting the Growth of Social Media Information Cascades: Towards Human-in-the-Loop Misinformation Triage
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Activation Denoising: A Robustness View on Parallel vs Sequential LLM Quantization
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Responsible Institutional Analytics: Interpreting Bias with AI Support
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Lineage-Aware Memory Governance: A Derivation-Gated Framework for Privacy-Preserving Column-Level Access Control in Enterprise AI Agents
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Digital Twin-Driven Real2Sim2Real: Simulator-Conditioned Generation via Paired Driving-Scene Reconstruction
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DIPrune: Task-Aware Token Pruning with Dual Importance for Efficient Multimodal Language Models
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