Tag: causal inference
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Debiasing Reward Models with Causal Inference Intervention
Reduce biases in reward models using causally motivated inference-time interventions to improve alignment with human preferences without losing performance...
Causal Learning with Neural Assemblies: DIRECT Mechanism
Discover how neural assemblies and the DIRECT mechanism enable transparent causal learning, advancing AI and neuroscience research.
Generative Synthetic Data for Reliable Causal Inference
Explore pitfalls and remedies in using generative synthetic data for causal inference, enhancing accuracy with a hybrid framework and robust diagnostics.
QACD: Robust Causal Discovery via Quantitative Argumentation
Discover QACD, a novel quantitative argumentation framework that improves causal discovery accuracy and robustness in AI research.
Causal Concept Graphs Boost Multi-Step Reasoning in LLMs
Discover how Causal Concept Graphs improve multi-step reasoning in large language models by capturing causal relationships in latent space.