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🏛️ The Artificial Intelligence Crypt
cs.AI: Where Artificial Intelligence papers rest without their code.
17635
Total Papers
10620
No Code
277
Twilight
6738
Has Code
38.2%
Survival Rate
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The Impact of Off-Policy Training Data on Probe Generalisation
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MIR: Efficient Exploration in Episodic Multi-Agent Reinforcement Learning via Mutual Intrinsic Reward
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PersonaDrift: A Benchmark for Temporal Anomaly Detection in Language-Based Dementia Monitoring
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Reducing Instability in Synthetic Data Evaluation with a Super-Metric in MalDataGen
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The Specification Trap: Why Content-Based AI Value Alignment Cannot Produce Robust Alignment
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IPR-1: Interactive Physical Reasoner
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Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning
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When Words Change the Model: Sensitivity of LLMs for Constraint Programming Modelling
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DevPiolt: Operation Recommendation for IoT Devices at Xiaomi Home
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Do Large Language Models (LLMs) Understand Chronology?
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FOOTPASS: A Multi-Modal Multi-Agent Tactical Context Dataset for Play-by-Play Action Spotting in Soccer Broadcast Videos
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Scene Graph-Guided Generative AI Framework for Synthesizing and Evaluating Industrial Hazard Scenarios
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DAP: A Discrete-token Autoregressive Planner for Autonomous Driving
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MM-Telco: Benchmarks and Multimodal Large Language Models for Telecom Applications
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KANGURA: Kolmogorov-Arnold Network-Based Geometry-Aware Learning with Unified Representation Attention for 3D Modeling of Complex Structures
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Yanyun-3: Enabling Cross-Platform Strategy Game Operation with Vision-Language Models
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AURA: Development and Validation of an Augmented Unplanned Removal Alert System using Synthetic ICU Videos
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Adaptive Diagnostic Reasoning Framework for Pathology with Multimodal Large Language Models
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End to End AI System for Surgical Gesture Sequence Recognition and Clinical Outcome Prediction
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Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models
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AI- and Ontology-Based Enhancements to FMEA for Advanced Systems Engineering: Current Developments and Future Directions
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Learning the Value of Value Learning
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