SOTAVerified

Decision Making

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2901–2925 of 12311 papers

TitleStatusHype
Configurable Mirror Descent: Towards a Unification of Decision MakingCode0
QComp: A QSAR-Based Data Completion Framework for Drug Discovery—0
SemEval-2024 Task 3: Multimodal Emotion Cause Analysis in ConversationsCode1
Budgeted Recommendation with Delayed Feedback—0
Auto-Platoon : Freight by exampleCode0
Movie Revenue Prediction using Machine Learning ModelsCode1
Large Language Models are Biased Reinforcement LearnersCode0
Review of Interpretable Machine Learning Models for Disease Prognosis—0
Automating PTSD Diagnostics in Clinical Interviews: Leveraging Large Language Models for Trauma Assessments—0
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs—0
Selling Correlated Information Products—0
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly DetectionCode2
Preparing for Black Swans: The Antifragility Imperative for Machine Learning—0
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models—0
A Comparative Study of Garment Draping Techniques—0
Empowering Prior to Court Legal Analysis: A Transparent and Accessible Dataset for Defensive Statement Classification and Interpretation—0
Contestable AI needs Computational Argumentation—0
Challenging the Human-in-the-loop in Algorithmic Decision-making—0
Crowdsourcing with Enhanced Data Quality Assurance: An Efficient Approach to Mitigate Resource Scarcity Challenges in Training Large Language Models for Healthcare—0
Faithful Attention Explainer: Verbalizing Decisions Based on Discriminative Features—0
Monitizer: Automating Design and Evaluation of Neural Network Monitors—0
Tell me more: Intent Fulfilment Framework for Enhancing User Experiences in Conversational XAI—0
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning—0
A Unified Deep Transfer Learning Model for Accurate IoT Localization in Diverse Environments—0
Δ- OPE: Off-Policy Estimation with Pairs of PoliciesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified