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Multi-modal program inference: a marriage of pre-trained language models and component-based synthesis.

, , , , , , , and . Proc. ACM Program. Lang., 5 (OOPSLA): 1-29 (2021)

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FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language., , , , , , , and . Proc. VLDB Endow., 17 (3): 497-510 (November 2023)From Words to Code: Harnessing Data for Program Synthesis from Natural Language., , , , , , , , , and 2 other author(s). CoRR, (2023)Web Data Extraction using Hybrid Program Synthesis: A Combination of Top-down and Bottom-up Inference., and . SIGMOD Conference, page 1967-1978. ACM, (2020)CoWrangler: Recommender System for Data-Wrangling Scripts., , , , , , , , and . SIGMOD Conference Companion, page 147-150. ACM, (2023)Landmarks and regions: a robust approach to data extraction., , , , , , and . PLDI, page 993-1009. ACM, (2022)Structure interpretation of text formats., , , , and . Proc. ACM Program. Lang., 4 (OOPSLA): 212:1-212:29 (2020)Overwatch: Learning Patterns in Code Edit Sequences., , , , , , , , , and 1 other author(s). CoRR, (2022)Compositional Program Synthesis from Natural Language and Examples., , and . IJCAI, page 792-800. AAAI Press, (2015)Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis., , , , , , , and . CoRR, (2021)CORNET: A neurosymbolic approach to learning conditional table formatting rules by example., , , , , , and . CoRR, (2022)