40 citations · 89 across the 11 of their papers we have counts for
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cs.AI2026
Imandra CodeLogician: Neuro-Symbolic Reasoning for Precise Analysis of Software Logic
Hongyu Lin, Samer Abdallah, Makar Valentinov +5
Large Language Models (LLMs) have shown strong performance on code understanding tasks, yet they fundamentally lack the ability to perform precise, exhaustive mathematical reasonin…
cs.AI2017★ 5 cited
Relating Complexity-theoretic Parameters with SAT Solver Performance
Edward Zulkoski, Ruben Martins, Christoph Wintersteiger +4
Over the years complexity theorists have proposed many structural parameters to explain the surprising efficiency of conflict-driven clause-learning (CDCL) SAT solvers on a wide va…