Right for the Wrong Reasons: Epistemic Regret Minimization for Causal Rung Collapse in LLMs | ScienceToStartup | ScienceToStartup

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References (30)

[1]

CausalT5K: Diagnosing and Informing Refusal for Trustworthy Causal Reasoning of Skepticism, Sycophancy, Detection-Correction, and Rung Collapse

2026Longling Geng, Andy Ouyang et al.

[2]

Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning

2025Huaming Du, Yujia Zheng et al.

[3]

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage?

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"Develop a framework to address reasoning errors in machine learning, enabling models to correct causal misalignments."

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Right for the Wrong Reasons: Epistemic Regret Minimization for Causal Rung Collapse in LLMs

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References (30)

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Right for the Wrong Reasons: Epistemic Regret Minimization for Causal Rung Collapse in LLMs

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Founder's Pitch

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