SOTAVerified

Decision Making

Papers

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Showing 2551–2600 of 12311 papers

TitleStatusHype
Enhancing Radiological Diagnosis: A Collaborative Approach Integrating AI and Human Expertise for Visual Miss Correction—0
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions—0
Practical Power System Inertia Monitoring Based on Pumped Storage Hydropower Operation Signature—0
Operator World Models for Reinforcement LearningCode0
Boosting cattle face recognition under uncontrolled scenes by embedding enhancement and optimizationCode0
Instance Temperature Knowledge DistillationCode0
Fine-tuned network relies on generic representation to solve unseen cognitive task—0
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease DiagnosisCode1
The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges—0
Sequential three-way group decision-making for double hierarchy hesitant fuzzy linguistic term set—0
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights—0
From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased DecisionsCode0
CELLO: Causal Evaluation of Large Vision-Language ModelsCode1
The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning—0
FlowVQA: Mapping Multimodal Logic in Visual Question Answering with Flowcharts—0
Prompting Whole Slide Image Based Genetic Biomarker PredictionCode0
Complexity Aversion—0
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations—0
Decentralized Semantic Traffic Control in AVs Using RL and DQN for Dynamic Roadblocks—0
Kolmogorov-Arnold Graph Neural Networks—0
Mental Modeling of Reinforcement Learning Agents by Language Models—0
Multi-step Inference over Unstructured Data—0
Evaluating the Efficacy of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-Tuning Decision-Making—0
Enhancing Explainability of Knowledge Learning Paths: Causal Knowledge Networks—0
The State-Action-Reward-State-Action Algorithm in Spatial Prisoner's Dilemma Game—0
Unbiasing on the Fly: Explanation-Guided Human Oversight of Machine Learning System Decisions—0
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?Code0
Decentralized Task Offloading and Load-Balancing for Mobile Edge Computing in Dense Networks—0
Towards a Science Exocortex—0
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-MakingCode1
Integrating Generative AI with Network Digital Twins for Enhanced Network Operations—0
Large Language Models Assume People are More Rational than We Really areCode0
Paraphrase and Aggregate with Large Language Models for Minimizing Intent Classification Errors—0
What Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Gaussian-Noise-free Text-Image Corruption and EvaluationCode1
QuadrupedGPT: Towards a Versatile Quadruped Agent in Open-ended Worlds—0
Differentiable Distributionally Robust Optimization LayersCode0
Hacking a surrogate model approach to XAI—0
UNO Arena for Evaluating Sequential Decision-Making Capability of Large Language Models—0
Conditional Bayesian QuadratureCode0
GPT-4V Explorations: Mining Autonomous Driving—0
CAV-AHDV-CAV: Mitigating Traffic Oscillations for CAVs through a Novel Car-Following Structure and Reinforcement Learning—0
Hardware-Aware Neural Dropout Search for Reliable Uncertainty Prediction on FPGACode0
Imperfect-Recall Games: Equilibrium Concepts and Their Complexity—0
Accelerating Matrix Diagonalization through Decision Transformers with Epsilon-Greedy Optimization—0
Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of Things—0
Learning Abstract World Model for Value-preserving Planning with Options—0
Privacy Implications of Explainable AI in Data-Driven Systems—0
CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans—0
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology ImagesCode0
Catastrophic-risk-aware reinforcement learning with extreme-value-theory-based policy gradientsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified