Induction for SMT Solvers

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We study the proof theory and algorithms for orthologic, a logical system based on ortholattices, which have shown practical relevance in simplification and normalization of verification conditions. Ortholattices weaken Boolean algebras while having polyno ...

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Motivated by the transfer of proofs between proof systems, and in particular from first order automated theorem provers (ATPs) to interactive theorem provers (ITPs), we specify an extension of the TPTP derivation text format to describe proofs in first-ord ...

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Induction for SMT Solvers

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Orthologic with Axioms

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

When Subtyping Constraints Liberate A Novel Type Inference Approach for First-Class Polymorphism

Smart Proofs via Recursive Information Gathering: Decentralized Refereeing by Smart Contracts

Trustworthy and Efficient LLMs Meet Databases

SC-TPTP: An Extension of the TPTP Derivation Format for Sequent-Based Calculus

Learning Analytics for Adaptive and Self-Improving Learning Environments for Inductive Teaching

Monotonicity Reasoning in the Age of Neural Foundation Models

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

Language Model Decoding as Likelihood–Utility Alignment

Distributed Meta-Learning with Networked Agents

Keep Sensors in Check: Disentangling Country-Level Generalization Issues in Mobile Sensor-Based Models with Diversity Scores

Proving and Disproving Equivalence of Functional Programming Assignments

REFINER: Reasoning Feedback on Intermediate Representations

A Bayesian Model of Individual Differences and Flexibility in Inductive Reasoning for Categorization of Examples

Generalized Arrays for Stainless Frames

Stoic: Towards Disciplined Capabilities

Scaling Language Features for Program Verification

Textual Explanations and Critiques in Recommendation Systems

The Learnability of the Grammar of Jazz: Bayesian Inference of Hierarchical Structures in Harmony