Search Results for author: Mohammad Raza

Found 6 papers, 0 papers with code

From Words to Code: Harnessing Data for Program Synthesis from Natural Language

no code implementations2 May 2023 Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari

Existing approaches have utilized data context in a limited way by simply adding relevant information from the input data into the prompts sent to the LLM.

Program Synthesis

CORNET: Learning Table Formatting Rules By Example

no code implementations11 Aug 2022 Mukul Singh, José Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, Mohammad Raza, Gust Verbruggen

Since we are the first to introduce conditional formatting, we compare CORNET to a wide range of symbolic and neural baselines adapted from related domains.

Program Synthesis

Overwatch: Learning Patterns in Code Edit Sequences

no code implementations25 Jul 2022 Yuhao Zhang, Yasharth Bajpai, Priyanshu Gupta, Ameya Ketkar, Miltiadis Allamanis, Titus Barik, Sumit Gulwani, Arjun Radhakrishna, Mohammad Raza, Gustavo Soares, Ashish Tiwari

Our experiments show that Overwatch has 78% precision and that Overwatch not only completed edits when developers missed the opportunity to use the IDE tool support but also predicted new edits that have no tool support in the IDE.

Multi-modal Program Inference: a Marriage of Pre-trainedLanguage Models and Component-based Synthesis

no code implementations3 Sep 2021 Kia Rahmani, Mohammad Raza, Sumit Gulwani, Vu Le, Daniel Morris, Arjun Radhakrishna, Gustavo Soares, Ashish Tiwari

Examples provide a precise but incomplete specification, and natural language provides an ambiguous but more "complete" task description.

Program Synthesis

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