SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3701–3725 of 12311 papers

TitleStatusHype
Exploring and steering the moral compass of Large Language ModelsCode0
Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making Systems—0
CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal ControlCode0
Ontology-Enhanced Decision-Making for Autonomous Agents in Dynamic and Partially Observable Environments—0
Collage is the New Writing: Exploring the Fragmentation of Text and User Interfaces in AI Tools—0
OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators—0
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation—0
An Evolutionary Framework for Connect-4 as Test-Bed for Comparison of Advanced Minimax, Q-Learning and MCTS—0
Detection of decision-making manipulation in the pairwise comparisons method—0
SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation—0
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching RegularizationCode0
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models—0
Variational Offline Multi-agent Skill Discovery—0
On Bits and Bandits: Quantifying the Regret-Information Trade-offCode0
Make Safe Decisions in Power System: Safe Reinforcement Learning Based Pre-decision Making for Voltage Stability Emergency Control—0
Causal Concept Graph Models: Beyond Causal Opacity in Deep LearningCode0
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model—0
Improving Health Professionals' Onboarding with AI and XAI for Trustworthy Human-AI Collaborative Decision Making—0
Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series MeasurementsCode0
A Prudent Framework for Understanding Risk-Awareness in Demand Response—0
Front-propagation Algorithm: Explainable AI Technique for Extracting Linear Function Approximations from Neural Networks—0
Federated Learning for Non-factorizable Models using Deep Generative Prior ApproximationsCode0
Generation of synthetic data using breast cancer dataset and classification with resnet18—0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model DevelopmentCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified