SOTAVerified

Decision Making

Papers

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Showing 1451–1500 of 12311 papers

TitleStatusHype
Voice Biomarker Analysis and Automated Severity Classification of Dysarthric Speech in a Multilingual Context—0
Large Language Models in Politics and Democracy: A Comprehensive Survey—0
Mapping, modeling, and reprogramming cell-fate decision making systems—0
Multi-Agent Collaboration in Incident Response with Large Language ModelsCode0
STEVE-Audio: Expanding the Goal Conditioning Modalities of Embodied Agents in Minecraft—0
Decision Transformer vs. Decision Mamba: Analysing the Complexity of Sequential Decision Making in Atari GamesCode0
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning—0
A Comprehensive Guide to Explainable AI: From Classical Models to LLMsCode2
Adaptformer: Sequence models as adaptive iterative planners—0
2-Factor Retrieval for Improved Human-AI Decision Making in Radiology—0
An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurement—0
Peer Effects and Herd Behavior: An Empirical Study Based on the "Double 11" Shopping Festival—0
Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language ModelsCode3
Contrasting the optimal resource allocation to cybersecurity and cyber insurance using prospect theory versus expected utility theory—0
ETSM: Automating Dissection Trajectory Suggestion and Confidence Map-Based Safety Margin Prediction for Robot-assisted Endoscopic Submucosal Dissection—0
Per-event Uncertainty Quantification for Flow Cytometry using Calibration Beads—0
Contrastive representations of high-dimensional, structured treatments—0
Convex Regularization and Convergence of Policy Gradient Flows under Safety Constraints—0
An End-to-End Smart Predict-then-Optimize Framework for Vehicle Relocation Problems in Large-Scale Vehicle Crowd Sensing—0
Using Machine Bias To Measure Human Bias—0
Dynamic Retail Pricing via Q-Learning -- A Reinforcement Learning Framework for Enhanced Revenue Management—0
Two-Timescale Digital Twin Assisted Model Interference and Retraining over Wireless Network—0
SentiXRL: An advanced large language Model Framework for Multilingual Fine-Grained Emotion Classification in Complex Text Environment—0
FASIONAD : FAst and Slow FusION Thinking Systems for Human-Like Autonomous Driving with Adaptive Feedback—0
Neural Image Unfolding: Flattening Sparse Anatomical Structures using Neural Fields—0
MvKeTR: Chest CT Report Generation with Multi-View Perception and Knowledge Enhancement—0
Learning optimal objective values for MILPCode0
KACDP: A Highly Interpretable Credit Default Prediction Model—0
Network Inversion and Its Applications—0
Decision making in stochastic extensive form II: Stochastic extensive forms and games—0
Belief patterns with information processing—0
Neural Networks Use Distance MetricsCode0
What Differentiates Educational Literature? A Multimodal Fusion Approach of Transformers and Computational Linguistics—0
LHPF: Look back the History and Plan for the Future in Autonomous Driving—0
Interpretable Dynamic Graph Neural Networks for Small Occluded Object Detection and Tracking—0
AI-Augmented Ethical Hacking: A Practical Examination of Manual Exploitation and Privilege Escalation in Linux Environments—0
Confidence-Aware Deep Learning for Load Plan Adjustments in the Parcel Service Industry—0
Explainable AI Approach using Near Misses Analysis—0
U-WNO:U-Net-enhanced Wavelet Neural Operator for fetal head segmentation—0
What can LLM tell us about cities?—0
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets—0
Expert-elicitation method for non-parametric joint priors using normalizing flowsCode0
PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making—0
Decoding Urban Industrial Complexity: Enhancing Knowledge-Driven Insights via IndustryScopeGPTCode0
MC-NEST -- Enhancing Mathematical Reasoning in Large Language Models with a Monte Carlo Nash Equilibrium Self-Refine TreeCode0
Circuit design in biology and machine learning. II. Anomaly detection—0
Exploring Kolmogorov-Arnold Networks for Interpretable Time Series ClassificationCode0
Enhancing Autonomous Driving Safety through World Model-Based Predictive Navigation and Adaptive Learning Algorithms for 5G Wireless Applications—0
Resolution-Agnostic Transformer-based Climate Downscaling—0
Universal and Context-Independent Triggers for Precise Control of LLM Outputs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified