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Decision Making

Papers

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Showing 1301–1350 of 12311 papers

TitleStatusHype
AlzheimerRAG: Multimodal Retrieval Augmented Generation for PubMed articles—0
From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations—0
From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba—0
Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification—0
Application of Multimodal Large Language Models in Autonomous Driving—0
Adversarial Attack Against Images Classification based on Generative Adversarial Networks—0
Breaking the Context Bottleneck on Long Time Series ForecastingCode0
Quantifying the benefit of load uncertainty reduction for the design of district energy systems under grid constraints using the Value of InformationCode0
Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems—0
Post-hoc Interpretability Illumination for Scientific Interaction Discovery—0
Segmentation of arbitrary features in very high resolution remote sensing imageryCode0
Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning—0
Intelligent Approaches to Predictive Analytics in Occupational Health and Safety in India—0
Humanlike Cognitive Patterns as Emergent Phenomena in Large Language Models—0
Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven OptimizationCode1
A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science—0
A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science—0
A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate SimulationCode1
Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting—0
Mediation Analysis for Probabilities of Causation—0
DriveGPT: Scaling Autoregressive Behavior Models for Driving—0
Probabilistic Strategy Logic with Degrees of Observability—0
A Shapley Value Estimation Speedup for Efficient Explainable Quantum AICode0
Operationalising Rawlsian Ethics for Fairness in Norm-Learning Agents—0
ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods—0
In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions—0
Uncertainty Awareness in Wireless Communications and Sensing—0
On Calibration in Multi-Distribution Learning—0
Online MDP with Transition Prototypes: A Robust Adaptive Approach—0
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves—0
CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning—0
Integrating Evidence into the Design of XAI and AI-based Decision Support Systems: A Means-End Framework for End-users in Construction—0
Hunting Tomorrow's Leaders: Using Machine Learning to Forecast S&P 500 Additions & Removal—0
SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models—0
Cross-table Synthetic Tabular Data Detection—0
Previous Knowledge Utilization In Online Anytime Belief Space PlanningCode0
A New Adversarial Perspective for LiDAR-based 3D Object Detection—0
Ask for More Than Bayes Optimal: A Theory of Indecisions for Classification—0
Active Reinforcement Learning Strategies for Offline Policy Improvement—0
LogBabylon: A Unified Framework for Cross-Log File Integration and Analysis—0
How Different AI Chatbots Behave? Benchmarking Large Language Models in Behavioral Economics Games—0
Equivariant Action Sampling for Reinforcement Learning and Planning—0
Are Large Language Models Useful for Time Series Data Analysis?—0
Enhancing Temporal Link Prediction with HierTKG: A Hierarchical Temporal Knowledge Graph Framework—0
Demonstrating Data-to-Knowledge Pipelines for Connecting Production Sites in the World Wide Lab—0
Multimodal LLM for Intelligent Transportation Systems—0
Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences—0
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps—0
Revelations: A Decidable Class of POMDPs with Omega-Regular ObjectivesCode0
Embodied CoT Distillation From LLM To Off-the-shelf AgentsCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified