SOTAVerified

Decision Making

Papers

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Showing 4376–4400 of 12311 papers

TitleStatusHype
Can LLMs Help Improve Analogical Reasoning For Strategic Decisions? Experimental Evidence from Humans and GPT-4—0
An Overview of Large Language Models for Statisticians—0
Active Learning with Safety Constraints—0
Can LLMs Grade Short-Answer Reading Comprehension Questions : An Empirical Study with a Novel Dataset—0
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic—0
An Overview of Artificial Intelligence-based Soft Upper Limb Exoskeleton for Rehabilitation: A Descriptive Review—0
Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes—0
A generalized forecasting solution to enable future insights of COVID-19 at sub-national level resolutions—0
Evaluating the Explainable AI Method Grad-CAM for Breath Classification on Newborn Time Series Data—0
Evaluating the impact of quarantine measures on COVID-19 spread—0
Can LLMs Assist Expert Elicitation for Probabilistic Causal Modeling?—0
An Overview and Discussion of the Suitability of Existing Speech Datasets to Train Machine Learning Models for Collective Problem Solving—0
Can Large Language Models Play Games? A Case Study of A Self-Play Approach—0
Can large language models explore in-context?—0
A Novel Unsupervised Post-Processing Calibration Method for DNNS with Robustness to Domain Shift—0
Accelerating Diffusion Models in Offline RL via Reward-Aware Consistency Trajectory Distillation—0
Can Large Language Models Beat Wall Street? Unveiling the Potential of AI in Stock Selection—0
Can Language Representation Models Think in Bets?—0
A Novel Twitter Sentiment Analysis Model with Baseline Correlation for Financial Market Prediction with Improved Efficiency—0
Can Language Models Serve as Text-Based World Simulators?—0
A Novel Task-Driven Method with Evolvable Interactive Agents Using Event Trees for Enhanced Emergency Decision Support—0
Active Learning For Contextual Linear Optimization: A Margin-Based Approach—0
Understanding Software Engineering Agents Through the Lens of Traceability: An Empirical Study—0
Evaluating the Performance of Large Language Models in Scientific Claim Detection and Classification—0
Evaluating the Stability of Deep Learning Latent Feature Spaces—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SRLAAverage Remaining Cycles6.4—Unverified