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cs.AI2026
Inferring Causal Relations between Two Sequences of Events with Language Models
Nishchal Prasad, Eric Gaussier, Emilie Devijver +3
Causal AI is a branch of Artificial Intelligence which helps understand and reason about cause and effect relationships, not just patterns or correlations. Causal discovery aims to…
cs.AI2026
Unveiling the Structure of Do-Calculus Reasoning via Derivation Graphs
Clément Yvernes, Emilie Devijver, Marianne Clausel +1
The do-calculus defines a general system of inference for interventional queries, allowing causal quantities to be transformed through successive applications of its rules. This pr…