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20242026
most citedTowards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

12 citations · 13 across the 8 of their papers we have counts for

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cs.LO2024

Towards SMT Solver Stability via Input Normalization

Daneshvar Amrollahi, Mathias Preiner, Aina Niemetz +4

In many applications, SMT solvers are utilized to solve similar or identical tasks over time. Significant variations in performance due to small changes in the input are not uncomm…

math.LO2024

The nonexistence of unicorns and many-sorted Löwenheim-Skolem theorems

Benjamin Przybocki, Guilherme Toledo, Yoni Zohar +1

Stable infiniteness, strong finite witnessability, and smoothness are model-theoretic properties relevant to theory combination in satisfiability modulo theories. Theories that are…

cs.LO2024

Verifying SQL Queries using Theories of Tables and Relations

Mudathir Mohamed, Andrew Reynolds, Cesare Tinelli +1

We present a number of first- and second-order extensions to SMT theories specifically aimed at representing and analyzing SQL queries with join, projection, and selection operatio…

cs.AI2024★ 12 cited

Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

David "davidad" Dalrymple, Joar Skalse, Yoshua Bengio +14

Ensuring that AI systems reliably and robustly avoid harmful or dangerous behaviours is a crucial challenge, especially for AI systems with a high degree of autonomy and general in…

cs.LO2024

Generalized Optimization Modulo Theories

Nestan Tsiskaridze, Clark Barrett, Cesare Tinelli

Optimization Modulo Theories (OMT) has emerged as an important extension of the highly successful Satisfiability Modulo Theories (SMT) paradigm. The OMT problem requires solving an…