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Decision Making

Papers

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Showing 2301–2350 of 12311 papers

TitleStatusHype
Bayesian Optimization of Bilevel Problems—0
Advancing Explainability in Neural Machine Translation: Analytical Metrics for Attention and Alignment Consistency—0
A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: Evidence from China's Stock MarketCode0
Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) -- a Large Language Model Chatbot for Perioperative Medicine—0
Quantum framework for Reinforcement Learning: Integrating Markov decision process, quantum arithmetic, and trajectory search—0
Accelerating process control and optimization via machine learning: A review—0
Agents on the Bench: Large Language Model Based Multi Agent Framework for Trustworthy Digital Justice—0
Uncertainty Quantification in Stereo MatchingCode0
An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving—0
A Novel Task-Driven Method with Evolvable Interactive Agents Using Event Trees for Enhanced Emergency Decision Support—0
INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent—0
An Instrumental Value for Data Production and its Application to Data Pricing—0
BIG-MoE: Bypass Isolated Gating MoE for Generalized Multimodal Face Anti-SpoofingCode0
A Dual-Perspective Metaphor Detection Framework Using Large Language ModelsCode0
MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models—0
EPE-P: Evidence-based Parameter-efficient Prompting for Multimodal Learning with Missing ModalitiesCode0
The Role of XAI in Transforming Aeronautics and Aerospace Systems—0
Explainability in Neural Networks for Natural Language Processing Tasks—0
Enhancing Cancer Diagnosis with Explainable & Trustworthy Deep Learning Models—0
Fairness in Reinforcement Learning with Bisimulation Metrics—0
Decentralized Governance of Autonomous AI Agents—0
Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic CollaborationCode0
From Correlation to Causation: Understanding Climate Change through Causal Analysis and LLM Interpretations—0
Adversarial Attack Against Images Classification based on Generative Adversarial Networks—0
Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification—0
AlzheimerRAG: Multimodal Retrieval Augmented Generation for PubMed articles—0
From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba—0
Application of Multimodal Large Language Models in Autonomous Driving—0
Breaking the Context Bottleneck on Long Time Series ForecastingCode0
Post-hoc Interpretability Illumination for Scientific Interaction Discovery—0
Autoware.Flex: Human-Instructed Dynamically Reconfigurable Autonomous Driving Systems—0
Segmentation of arbitrary features in very high resolution remote sensing imageryCode0
Intelligent Approaches to Predictive Analytics in Occupational Health and Safety in India—0
Tacit Learning with Adaptive Information Selection for Cooperative Multi-Agent Reinforcement Learning—0
Humanlike Cognitive Patterns as Emergent Phenomena in Large Language Models—0
Quantifying the benefit of load uncertainty reduction for the design of district energy systems under grid constraints using the Value of InformationCode0
Probabilistic Strategy Logic with Degrees of Observability—0
Mediation Analysis for Probabilities of Causation—0
Leveraging Time Series Categorization and Temporal Fusion Transformers to Improve Cryptocurrency Price Forecasting—0
DriveGPT: Scaling Autoregressive Behavior Models for Driving—0
Operationalising Rawlsian Ethics for Fairness in Norm-Learning Agents—0
A Large-Scale Simulation on Large Language Models for Decision-Making in Political Science—0
A Shapley Value Estimation Speedup for Efficient Explainable Quantum AICode0
A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science—0
Uncertainty Awareness in Wireless Communications and Sensing—0
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves—0
Online MDP with Transition Prototypes: A Robust Adaptive Approach—0
On Calibration in Multi-Distribution Learning—0
In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions—0
ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified