SOTAVerified

Decision Making

Papers

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Showing 5951–5975 of 12311 papers

TitleStatusHype
Towards a Capability Assessment Model for the Comprehension and Adoption of AI in Organisations—0
Value of Information Analysis for rationalising information gathering in building energy analysisCode0
SenteCon: Leveraging Lexicons to Learn Human-Interpretable Language RepresentationsCode0
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective—0
Using Models Based on Cognitive Theory to Predict Human Behavior in Traffic: A Case Study—0
Trends and Challenges Towards an Effective Data-Driven Decision Making in UK SMEs: Case Studies and Lessons Learnt from the Analysis of 85 SMEs—0
Safety-aware Semi-end-to-end Coordinated Decision Model for Voltage Regulation in Active Distribution NetworkCode0
Computer Vision for Construction Progress Monitoring: A Real-Time Object Detection Approach—0
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingCode0
A Mini Review on the utilization of Reinforcement Learning with OPC UA—0
AutoPlan: Automatic Planning of Interactive Decision-Making Tasks With Large Language ModelsCode0
Reliability Scores from Saliency Map Clusters for Improved Image-based Harvest-Readiness Prediction in Cauliflower—0
Comparing Humans and Models on a Similar Scale: Towards Cognitive Gender Bias Evaluation in Coreference ResolutionCode0
Does ChatGPT have Theory of Mind?—0
OlaGPT: Empowering LLMs With Human-like Problem-Solving AbilitiesCode0
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software—0
UPNet: Uncertainty-based Picking Deep Learning Network for Robust First Break Picking—0
Co-Learning Empirical Games and World Models—0
Research on Multi-Agent Communication and Collaborative Decision-Making Based on Deep Reinforcement Learning—0
Rational social distancing in epidemics with uncertain vaccination timing—0
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach—0
The Complexity of Corporate Culture as a Potential Source of Firm Profit Differentials—0
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variabilityCode0
Iterative Forward Tuning Boosts In-Context Learning in Language ModelsCode0
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning ArchitectureCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified