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Generating Programmatic Referring Expressions via Program Synthesis.

, , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 4495-4506. PMLR, (2020)

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Effective Program Debloating via Reinforcement Learning., , , and . ACM Conference on Computer and Communications Security, page 380-394. ACM, (2018)Code2Inv: A Deep Learning Framework for Program Verification., , , , and . CAV (2), volume 12225 of Lecture Notes in Computer Science, page 151-164. Springer, (2020)Hybrid top-down and bottom-up interprocedural analysis., , , and . PLDI, page 249-258. ACM, (2014)On abstraction refinement for program analyses in Datalog., , , , and . PLDI, page 239-248. ACM, (2014)CodeTrek: Flexible Modeling of Code using an Extensible Relational Representation., , , , , and . ICLR, OpenReview.net, (2022)Constraint-Based Synthesis of Datalog Programs., , , and . CP, volume 10416 of Lecture Notes in Computer Science, page 689-706. Springer, (2017)Learning Neurosymbolic Generative Models via Program synthesis., , and . DeepRLStructPred@ICLR, OpenReview.net, (2019)Accelerating program analyses by cross-program training., , , and . OOPSLA, page 359-377. ACM, (2016)APISan: Sanitizing API Usages through Semantic Cross-Checking., , , , , and . USENIX Security Symposium, page 363-378. USENIX Association, (2016)Inferring Natural Preconditions via Program Transformation., , and . SIGSOFT FSE Companion, page 657-658. ACM, (2024)