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20222024
most citedDocPrompting: Generating Code by Retrieving the Docs

19 citations · 45 across the 11 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CL2022★ 1 cited

Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer

Zhengbao Jiang, Luyu Gao, Jun Araki +4

Systems for knowledge-intensive tasks such as open-domain question answering (QA) usually consist of two stages: efficient retrieval of relevant documents from a large corpus and d…

cs.SE2022★ 2 cited

Execution-Based Evaluation for Open-Domain Code Generation

Zhiruo Wang, Shuyan Zhou, Daniel Fried +1

To extend the scope of coding queries to more realistic settings, we propose ODEX, the first Open-Domain EXecution-based natural language (NL) to Python code generation dataset. OD…

cs.CL2022★ 19 cited

DocPrompting: Generating Code by Retrieving the Docs

Shuyan Zhou, Uri Alon, Frank F. Xu +3

Publicly available source-code libraries are continuously growing and changing. This makes it impossible for models of code to keep current with all available APIs by simply traini…

cs.CL2022★ 1 cited

Table Retrieval May Not Necessitate Table-specific Model Design

Zhiruo Wang, Zhengbao Jiang, Eric Nyberg +1

Tables are an important form of structured data for both human and machine readers alike, providing answers to questions that cannot, or cannot easily, be found in texts. Recent wo…

cs.CL2022★ 2 cited

MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages

Zhiruo Wang, Grace Cuenca, Shuyan Zhou +2

While there has been a recent burgeoning of applications at the intersection of natural and programming languages, such as code generation and code summarization, these application…