SOTAVerified

Decision Making

Papers

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Showing 4551–4600 of 12311 papers

TitleStatusHype
Towards Collective Superintelligence: Amplifying Group IQ using Conversational Swarms—0
Towards a Systems Theory of Algorithms—0
Zero-shot Sequential Neuro-symbolic Reasoning for Automatically Generating Architecture Schematic Designs—0
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru—0
HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning ExperimentsCode0
Multi-Agent Diagnostics for Robustness via Illuminated Diversity—0
A V2X-based Privacy Preserving Federated Measuring and Learning SystemCode0
What Large Language Models Know and What People Think They Know—0
Information That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions—0
Conformal Prediction Sets Improve Human Decision MakingCode0
Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence—0
Causal Perception—0
MM-LLMs: Recent Advances in MultiModal Large Language Models—0
Edge-Computing-Enabled Deep Learning Approach for Low-Light Satellite Image EnhancementCode0
Viewport Prediction, Bitrate Selection, and Beamforming Design for THz-Enabled 360° Video Streaming—0
Probabilistic Demand Forecasting with Graph Neural Networks—0
Secure Federated Learning Approaches to Diagnosing COVID-19—0
Introducing PetriRL: An Innovative Framework for JSSP Resolution Integrating Petri nets and Event-based Reinforcement Learning—0
XAI for All: Can Large Language Models Simplify Explainable AI?—0
Transformers with Attentive Federated Aggregation for Time Series Stock Forecasting—0
HgbNet: predicting hemoglobin level/anemia degree from EHR data—0
Generalization and Informativeness of Conformal Prediction—0
Training microrobots to swim by a large language model—0
Information-Theoretic State Variable Selection for Reinforcement LearningCode0
Enhance Eye Disease Detection using Learnable Probabilistic Discrete Latents in Machine Learning ArchitecturesCode0
Visual Imitation Learning with Calibrated Contrastive Representation—0
MoMA: Model-based Mirror Ascent for Offline Reinforcement Learning—0
Self-sustaining Software Systems (S4): Towards Improved Interpretability and Adaptation—0
Long-Term Fair Decision Making through Deep Generative ModelsCode0
Optimized Task Assignment and Predictive Maintenance for Industrial Machines using Markov Decision Process—0
On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey—0
Meta Reinforcement Learning for Strategic IoT Deployments Coverage in Disaster-Response UAV Swarms—0
Fake Google restaurant reviews and the implications for consumers and restaurants—0
FIMBA: Evaluating the Robustness of AI in Genomics via Feature Importance Adversarial AttacksCode0
Ecosystem models cannot predict the consequences of conservation decisions—0
Dynamic Semantic Compression for CNN Inference in Multi-access Edge Computing: A Graph Reinforcement Learning-based Autoencoder—0
Dynamic Q&A of Clinical Documents with Large Language Models—0
Stochastic Dynamic Power Dispatch with High Generalization and Few-Shot Adaption via Contextual Meta Graph Reinforcement Learning—0
SocraSynth: Multi-LLM Reasoning with Conditional Statistics—0
Understanding Video Transformers via Universal Concept Discovery—0
Preservation of Feature Stability in Machine Learning Under Data Uncertainty for Decision Support in Critical Domains—0
MacroSwarm: A Field-based Compositional Framework for Swarm Programming—0
Exploring the role of structure in a time constrained decision task—0
Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition—0
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model InferenceCode0
Learning Non-myopic Power Allocation in Constrained ScenariosCode0
DeLF: Designing Learning Environments with Foundation ModelsCode0
Knowledge Pyramid: A Novel Hierarchical Reasoning Structure for Generalized Knowledge Augmentation and Inference—0
Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL) : Towards Biological Self-Autonomous Agent—0
Monitoring Machine Learning Forecasts for Platform Data Streams—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified