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🏛️ The Artificial Intelligence Crypt
cs.AI: Where Artificial Intelligence papers rest without their code.
17382
Total Papers
10620
No Code
277
Twilight
6485
Has Code
37.3%
Survival Rate
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A Parallel CPU-GPU Framework for Batching Heuristic Operations in Depth-First Heuristic Search
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Benchmarking Vector, Graph and Hybrid Retrieval Augmented Generation (RAG) Pipelines for Open Radio Access Networks (ORAN)
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A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods
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Patterns and Mechanisms of Contrastive Activation Engineering
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Evaluating the Impact of AI-Powered Audiovisual Personalization on Learner Emotion, Focus, and Learning Outcomes
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Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4
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Towards Machine-Generated Code for the Resolution of User Intentions
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Birds of a Different Feather Flock Together: Exploring Opportunities and Challenges in Animal-Human-Machine Teaming
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Towards Conversational AI for Human-Machine Collaborative MLOps
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Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning
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Example-Based Concept Analysis Framework for Deep Weather Forecast Models
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Automated Planning for Optimal Data Pipeline Instantiation
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Trustworthy AI in the Agentic Lakehouse: from Concurrency to Governance
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Scalable and Explainable Enterprise Knowledge Discovery Using Graph-Centric Hybrid Retrieval
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SING-SQL: A Synthetic Data Generation Framework for In-Domain Text-to-SQL Translation
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MontePrep: Monte-Carlo-Driven Automatic Data Preparation without Target Data Instances
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Fitting Ontologies and Constraints to Relational Structures
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Consistency Verification in Ontology-Based Process Models with Parameter Interdependencies
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Bayesian Epistemology with Weighted Authority: A Formal Architecture for Truth-Promoting Autonomous Scientific Reasoning
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Enhancing Crash Frequency Modeling Based on Augmented Multi-Type Data by Hybrid VAE-Diffusion-Based Generative Neural Networks
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Hindsight Planner: A Closed-Loop Few-Shot Planner for Embodied Instruction Following
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Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems
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