Tag: causal machine learning
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Code Sharing Trends in Prediction Model Research 2025
Explore the latest trends and challenges in code sharing for prediction model research, highlighting key findings from a 2025 scoping review.
Best Demonstration Selection for LLM Next POI Prediction
Explore top demonstration selection methods to boost large language model accuracy in next POI prediction using real-world datasets and heuristics.
How Large Language Models Reflect Human Culture & Behavior
Explore how contemporary large language models reveal key themes of human culture, behavior, and societal norms through AI-driven analysis.
Text2DistBench: Benchmarking LLMs’ Distributional Reading Skills
Discover Text2DistBench, a new benchmark evaluating large language models' ability to understand distributional reading comprehension beyond factual recall...
Stepwise Informativeness Assumption in LLMs: Entropy & Reasoning
Explore how the Stepwise Informativeness Assumption links entropy dynamics to reasoning accuracy in large language models (LLMs) across key benchmarks.