SOTAVerified

Decision Making

Papers

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Showing 3651–3700 of 12311 papers

TitleStatusHype
Neural machine translation of clinical procedure codes for medical diagnosis and uncertainty quantification—0
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trustCode0
Optimistic Thompson Sampling for No-Regret Learning in Unknown Games—0
Advancing Explainable AI Toward Human-Like Intelligence: Forging the Path to Artificial Brain—0
Safe Human-UAS Collaboration Abstraction—0
FlowPG: Action-constrained Policy Gradient with Normalizing FlowsCode0
Adaptive Hypergraph Network for Trust PredictionCode0
Sym-Q: Adaptive Symbolic Regression via Sequential Decision-MakingCode1
Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models—0
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy—0
FaithLM: Towards Faithful Explanations for Large Language Models—0
OIL-AD: An Anomaly Detection Framework for Sequential Decision SequencesCode0
Conformal Convolution and Monte Carlo Meta-learners for Predictive Inference of Individual Treatment EffectsCode1
Collaborative Computing in Non-Terrestrial Networks: A Multi-Time-Scale Deep Reinforcement Learning Approach—0
Streamlined Hybrid Annotation Framework using Scalable Codestream for Bandwidth-Restricted UAV Object Detection—0
Human-Centered AI Product Prototyping with No-Code AutoML: Conceptual Framework, Potentials and Limitations—0
Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception—0
Counterfactual Generation with Answer Set Programming—0
Monthly GDP nowcasting with Machine Learning and Unstructured Data—0
Enhance DNN Adversarial Robustness and Efficiency via Injecting Noise to Non-Essential Neurons—0
Collaborative Deep Reinforcement Learning for Resource Optimization in Non-Terrestrial Networks—0
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based PoliciesCode2
Learning Metrics that Maximise Power for Accelerated A/B-TestsCode0
Logical Specifications-guided Dynamic Task Sampling for Reinforcement Learning AgentsCode0
Measuring Implicit Bias in Explicitly Unbiased Large Language ModelsCode1
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes—0
Explainable Automated Machine Learning for Credit Decisions: Enhancing Human Artificial Intelligence Collaboration in Financial Engineering—0
Variational Shapley Network: A Probabilistic Approach to Self-Explaining Shapley values with Uncertainty Quantification—0
Consistent Joint Decision-Making with Heterogeneous Learning Models—0
RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents—0
Statistical Test for Anomaly Detections by Variational Auto-Encoders—0
An Exploration of Clustering Algorithms for Customer Segmentation in the UK Retail Market—0
Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks—0
Early prediction of onset of sepsis in Clinical Setting—0
Multi-Agent Reinforcement Learning for Offloading Cellular Communications with Cooperating UAVs—0
Digital Twin for Grey Box modeling of Multistory residential building thermal dynamics—0
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable SkillsCode1
Deep Exploration with PAC-Bayes—0
Beyond Expectations: Learning with Stochastic Dominance Made Practical—0
Position: What Can Large Language Models Tell Us about Time Series AnalysisCode2
V-IRL: Grounding Virtual Intelligence in Real LifeCode3
Absolute convergence and error thresholds in non-active adaptive sampling—0
DeLLMa: Decision Making Under Uncertainty with Large Language Models—0
eXplainable Bayesian Multi-Perspective Generative Retrieval—0
Early stopping by correlating online indicators in neural networks—0
Review of multimodal machine learning approaches in healthcare—0
An explainable machine learning-based approach for analyzing customers' online data to identify the importance of product attributes—0
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks—0
Calibration and Correctness of Language Models for Code—0
PresAIse, A Prescriptive AI Solution for Enterprises—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified