Author

Mathieu Acher

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#artificial intelligence Preprint Sep 2026

Externalized CPDAG Summaries Improve LLM Causal Deduction

Corr2Cause asks whether a causal claim holds in every DAG compatible with observed correlations and conditional independencies. We frame this as latent-object reasoning: the label is defined by a CPDAG query, but free-form chain-of-thought often collapses the Markov-equivalence-class problem into local pattern matching...

Wen-Tao Sun, João Paulo Nogueira, Dominique Verchere et al. · 0 citations

#small language model Preprint Sep 2026

Code Transformation Rule Synthesis using LLMs: Potential and Limits

Due to their black-box nature, LLMs suffer from limited explain- ability and a lack of determinism. Their usage cost can also rise, particularly with repetitive tasks on large codebases. To mitigate this, we conduct a novel empirical study targeting three domain- specific languages for transformation rules, namely Comb...

Axel Allain, Aymeric Blot, D. Khelladi et al. · 1 citation