🏛️ The Artificial Intelligence Crypt
cs.AI: Where Artificial Intelligence papers rest without their code.
17382
Total Papers
10620
No Code
277
Twilight
6485
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37.3%
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GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective
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Pensieve Grader: An AI-Powered, Ready-to-Use Platform for Effortless Handwritten STEM Grading
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Large Language Model-Powered Conversational Agent Delivering Problem-Solving Therapy (PST) for Family Caregivers: Enhancing Empathy and Therapeutic Alliance Using In-Context Learning
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Evaluating LLM-Contaminated Crowdsourcing Data Without Ground Truth
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When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration
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The Many Challenges of Human-Like Agents in Virtual Game Environments
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LiteCUA: Computer as MCP Server for Computer-Use Agent on AIOS
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RL in the Wild: Characterizing RLVR Training in LLM Deployment
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LeMix: Unified Scheduling for LLM Training and Inference on Multi-GPU Systems
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PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
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Perspective-Aware AI in Extended Reality
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Investigating the Impact of Personalized AI Tutors on Language Learning Performance
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Closed-loop control of seizure activity via real-time seizure forecasting by reservoir neuromorphic computing
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Exploring the Impact of Explainable AI and Cognitive Capabilities on Users' Decisions
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IRL Dittos: Embodied Multimodal AI Agent Interactions in Open Spaces
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From Promising Capability to Pervasive Bias: Assessing Large Language Models for Emergency Department Triage
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Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work
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Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligence
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Dialogue-based Explanations for Logical Reasoning using Structured Argumentation
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The intrinsic motivation of reinforcement and imitation learning for sequential tasks
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Probabilistic Mission Design for Neuro-Symbolic Unmanned Aircraft Systems
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LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization
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