SOTAVerified

Decision Making

Papers

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Showing 2951–3000 of 12311 papers

TitleStatusHype
Translating Expert Intuition into Quantifiable Features: Encode Investigator Domain Knowledge via LLM for Enhanced Predictive Analytics—0
Aspect-based Sentiment Evaluation of Chess Moves (ASSESS): an NLP-based Method for Evaluating Chess Strategies from Textbooks—0
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based OptimizationCode1
Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach—0
Residual-based Attention Physics-informed Neural Networks for Spatio-Temporal Ageing Assessment of Transformers Operated in Renewable Power Plants—0
Building Trust in AI-Driven Decision Making for Cyber-Physical Systems (CPS): A Comprehensive Review—0
Bridging the Gap: Protocol Towards Fair and Consistent Affect AnalysisCode0
Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation—0
Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting—0
Optimal Baseline Corrections for Off-Policy Contextual BanditsCode0
Informed Decision-Making through Advancements in Open Set Recognition and Unknown Sample Detection—0
Interpretable Cross-Examination Technique (ICE-T): Using highly informative features to boost LLM performance—0
Physics-Enhanced Machine Learning: a position paper for dynamical systems investigations—0
Impact of Tone-Aware Explanations in Recommender Systems—0
Mitigating Exaggerated Safety in Large Language Models—0
Overcoming Anchoring Bias: The Potential of AI and XAI-based Decision Support—0
Novel Actor-Critic Algorithm for Robust Decision Making of CAV under Delays and Loss of V2X Data—0
Enhancing Organizational Performance: Harnessing AI and NLP for User Feedback Analysis in Product Development—0
Policy Learning with a Language BottleneckCode0
Counterfactual and Semifactual Explanations in Abstract Argumentation: Formal Foundations, Complexity and Computation—0
Lumbar Spine Tumor Segmentation and Localization in T2 MRI Images Using AI—0
Efficient Online Set-valued Classification with Bandit Feedback—0
ACEGEN: Reinforcement learning of generative chemical agents for drug discoveryCode3
Collaborative Intelligence in Sequential Experiments: A Human-in-the-Loop Framework for Drug Discovery—0
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty EstimationCode1
Hire Me or Not? Examining Language Model's Behavior with Occupation AttributesCode0
Resource Optimization in UAV-assisted IoT Networks: The Role of Generative AI—0
Investigating Personalized Driving Behaviors in Dilemma Zones: Analysis and Prediction of Stop-or-Go Decisions—0
Uncertainty of Supply Chains: Risk and Ambiguity—0
Learning Planning Abstractions from Language—0
Persona Inconstancy in Multi-Agent LLM Collaboration: Conformity, Confabulation, and ImpersonationCode0
The high dimensional psychological profile and cultural bias of ChatGPT—0
Anchored Answers: Unravelling Positional Bias in GPT-2's Multiple-Choice QuestionsCode0
Enhancing Q-Learning with Large Language Model Heuristics—0
Functional Equivalence with NARS—0
Is Sora a World Simulator? A Comprehensive Survey on General World Models and BeyondCode4
End-to-End Reinforcement Learning of Curative Curtailment with Partial Measurement Availability—0
Region-specific Risk Quantification for Interpretable Prognosis of COVID-19Code0
Ambush strategy enhances organisms' performance in rock-paper-scissors games—0
Monetary Policies on Green Financial Markets: Evidence from a Multi-Moment Connectedness Network—0
Probing Human Visual Robustness with Neurally-Guided Deep Neural NetworksCode0
Interpretable Multi-View Clustering—0
MEXGEN: An Effective and Efficient Information Gain Approximation for Information Gathering Path Planning—0
Unleashing the Power of AI: Transforming Marketing Decision-Making in Heavy Machinery with Machine Learning, Radar Chart Simulation, and Markov Chain Analysis—0
Energy Price and Workload Related Dispatching Rule: Balancing Energy and Production Logistics Costs—0
Axiomatic Causal Interventions for Reverse Engineering Relevance Computation in Neural Retrieval ModelsCode0
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language ModelCode2
Generalizing Orthogonalization for Models with Non-LinearitiesCode0
Learning from Evolution: Improving Collective Decision-Making Mechanisms using Insights from Evolutionary Robotics—0
Transforming Investment Strategies and Strategic Decision-Making: Unveiling a Novel Methodology for Enhanced Performance and Risk Management in Financial Markets—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified