SOTAVerified

Decision Making

Papers

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Showing 1651–1700 of 12311 papers

TitleStatusHype
Amortized Bayesian Experimental Design for Decision-MakingCode0
Causal Discovery and Classification Using Lempel-Ziv ComplexityCode0
The Certainty Ratio C_ρ: a novel metric for assessing the reliability of classifier predictions—0
A Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR—0
Understanding the decision-making process of choice modellers—0
An Exploration of Higher Education Course Evaluation by Large Language Models—0
Autoformulation of Mathematical Optimization Models Using LLMs—0
PageRank Bandits for Link PredictionCode0
Know Where You're Uncertain When Planning with Multimodal Foundation Models: A Formal Framework—0
GITSR: Graph Interaction Transformer-based Scene Representation for Multi Vehicle Collaborative Decision-making—0
Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary—0
A Mechanistic Explanatory Strategy for XAI—0
Designing a Robust Radiology Report Generation System—0
A Survey of Financial AI: Architectures, Advances and Open ChallengesCode2
A Review of Reinforcement Learning in Financial Applications—0
Randomized Controlled Trials for Security Copilot for IT Administrators—0
Towards Data Valuation via Asymmetric Data ShapleyCode0
Identifiability analysis of vaccination decision-making dynamics—0
Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language ModelsCode1
Machine Learning-Accelerated Multi-Objective Design of Fractured Geothermal SystemsCode0
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference—0
Higher-Order Causal Message Passing for Experimentation with Complex Interference—0
ReSpAct: Harmonizing Reasoning, Speaking, and Acting Towards Building Large Language Model-Based Conversational AI Agents—0
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization—0
Quantifying calibration error in modern neural networks through evidence based theory—0
A Demonstration of Adaptive Collaboration of Large Language Models for Medical Decision-MakingCode3
Cost-Aware Query Policies in Active Learning for Efficient Autonomous Robotic Exploration—0
Clinical Evaluation of Medical Image Synthesis: A Case Study in Wireless Capsule Endoscopy—0
Responsible Retrieval Augmented Generation for Climate Decision Making from Documents—0
Representative Social Choice: From Learning Theory to AI Alignment—0
Venire: A Machine Learning-Guided Panel Review System for Community Content Moderation—0
Online Intrinsic Rewards for Decision Making Agents from Large Language Model FeedbackCode1
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity—0
CoGS: Model Agnostic Causality Constrained Counterfactual Explanations using goal-directed ASP—0
Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games—0
DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing DataCode1
Reliability Assessment of Information Sources Based on Random Permutation Set—0
FinVision: A Multi-Agent Framework for Stock Market Prediction—0
Markov Stochastic Choice—0
Choice confidence bridges credit assignment to levels of decision hierarchy—0
Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents—0
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions—0
On the Robustness of Adversarial Training Against Uncertainty AttacksCode0
Reliable Semantic Understanding for Real World Zero-shot Object Goal Navigation—0
MAPUNetR: A Hybrid Vision Transformer and U-Net Architecture for Efficient and Interpretable Medical Image Segmentation—0
Building Altruistic and Moral AI Agent with Brain-inspired Affective Empathy Mechanisms—0
Enhanced Survival Prediction in Head and Neck Cancer Using Convolutional Block Attention and Multimodal Data Fusion—0
ActiveSplat: High-Fidelity Scene Reconstruction through Active Gaussian SplattingCode2
Democratizing Reward Design for Personal and Representative Value-Alignment—0
AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified