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Semantically Aligned Question and Code Generation for Automated Insight Generation (Best Paper)
Automated insight generation is a common tactic for helping knowledge workers, such as data scientists, to quickly understand the …
Ananya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Henley, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen
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TSTR: Target Similarity Tuning Meets the Real World
Target similarity tuning (TST) is a method of selecting relevant examples in natural language (NL) to code generation through large …
Anirudh Khatry, Sumit Gulwani, Priyanshu Gupta, Vu Le, Ananya Singha, Mukul Singh, Gust Verbruggen
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From Words to Code: Harnessing Data for Program Synthesis from Natural Language
Creating programs to correctly manipulate data is a difficult task, as the underlying programming languages and APIs can be challenging …
Anirudh Khatry, Joyce Cahoon, Jordan Henkel, Shaleen Deep, Venkatesh Emani, Avrilia Floratou, Sumit Gulwani, Vu Le, Mohammad Raza, Sherry Shi, Mukul Singh, Ashish Tiwari
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Landmarks and Regions: A Robust Approach to Data Extraction
We propose a new approach to extracting data items or field values from semi-structured documents. Examples of such problems include …
Suresh Parthasarathy, Lincy Pattanaik, Anirudh Khatry, Arun Iyer, Arjun Radhakrishna, Sriram Rajamani, Mohammad Raza
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