SOTAVerified

Decision Making

Papers

Showing 1150111550 of 12311 papers

TitleStatusHype
Bandit algorithms to emulate human decision making using probabilistic distortions0
Welfare Maximization Algorithm for Solving Budget-Constrained Multi-Component POMDPs0
Welfare Modeling with AI as Economic Agents: A Game-Theoretic and Behavioral Approach0
Wer ist schuld, wenn Algorithmen irren? Entscheidungsautomatisierung, Organisationen und Verantwortung0
WESE: Weak Exploration to Strong Exploitation for LLM Agents0
Wetland Quality as a Determinant of Economic Value of Ecosystem Services: an Exploration0
WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making0
What are the attackers doing now? Automating cyber threat intelligence extraction from text on pace with the changing threat landscape: A survey0
What are the critical barriers to the development of hydrogen refueling stations in China? A modified fuzzy DEMATEL approach0
What Are the Odds? Improving the foundations of Statistical Model Checking0
What are the Statistical Limits of Offline RL with Linear Function Approximation?0
What's This Movie About? A Joint Neural Network Architecture for Movie Content Analysis0
What can AI do for me: Evaluating Machine Learning Interpretations in Cooperative Play0
What can LLM tell us about cities?0
What classifiers know what they don't know?0
What Data Enables Optimal Decisions? An Exact Characterization for Linear Optimization0
What deep reinforcement learning tells us about human motor learning and vice-versa0
What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational Linguistics0
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis0
What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain0
What evidence does deep learning model use to classify Skin Lesions?0
What if? Causal Machine Learning in Supply Chain Risk Management0
What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds0
What Is Going through Your Mind? Metacognitive Events Classification in Human-Agent Interactions0
What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices0
What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments0
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability0
What Makes an Evaluation Useful? Common Pitfalls and Best Practices0
What makes you change your mind? An empirical investigation in online group decision-making conversations0
What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience0
What's the Problem, Linda? The Conjunction Fallacy as a Fairness Problem0
What Symptoms and How Long? An Interpretable AI Approach for Depression Detection in Social Media0
What takes the brain so long: Object recognition at the level of minimal images develops for up to seconds of presentation time0
What to Do with an Airport? Mining Arguments in the German Online Participation Project Tempelhofer Feld0
What You See Is What You Get? The Impact of Representation Criteria on Human Bias in Hiring0
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting0
When accurate prediction models yield harmful self-fulfilling prophecies0
Bad Values but Good Behavior: Learning Highly Misspecified Bandits and MDPs0
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX0
When Are Linear Stochastic Bandits Attackable?0
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey0
When Autonomy Breaks: The Hidden Existential Risk of AI0
When confidence and competence collide: Effects on online decision-making discussions0
When Counterfactual Reasoning Fails: Chaos and Real-World Complexity0
When Crowdsourcing Meets Mobile Sensing: A Social Network Perspective0
When Debate Fails: Bias Reinforcement in Large Language Models0
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network0
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making0
When Eye-Tracking Meets Machine Learning: A Systematic Review on Applications in Medical Image Analysis0
When Geoscience Meets Generative AI and Large Language Models: Foundations, Trends, and Future Challenges0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4Unverified