Incentive Alignment in Online Experimentation
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New papers, breakthroughs and academic AI research
The Blind Spot Paradox: When Adaptive Classifiers Defeat Drift Detectors
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A Comprehensive Objective Evaluation of Modern Text-to-Speech for Turkish Using Speech Quality Assessment Models
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NCO: A Versatile Plug-in for Handling Negative Constraints in Decoding
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Grounded in Time: A Multi-Source Dataset and Benchmark for Temporal Grounding in Robotic Manipulation
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When Can Digital Personas Reliably Approximate Human Survey Findings?
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FloVMos: Optical Flow-based Medical Video Mosaicking
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Robust LLM Unlearning Against Relearning Attacks: The Minor Components in Representations Matter
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Asynchronous Tracking, Optical Communication and 3D Motion Capture using Event-based Sensors
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Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment
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ForeAct3D: Policy-Grounded Future World Modeling for VLA Policies
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Measuring the Depth of LLM Unlearning via Activation Patching
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