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Found 9 papers, 0 papers with code
CodeFusion: A Pre-trained Diffusion Model for Code Generation
Imagine a developer who can only change their last line of code, how often would they have to start writing a function from scratch before it is correct?
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language
Writing such rules is often challenging for users as it requires them to understand and implement the underlying logic.
InstructExcel: A Benchmark for Natural Language Instruction in Excel
With the evolution of Large Language Models (LLMs) we can solve increasingly more complex NLP tasks across various domains, including spreadsheets.
Co-audit: tools to help humans double-check AI-generated content
Hence, we are seeing the emergence of tool-assisted experiences to help the user double-check a piece of AI-generated content.
DataVinci: Learning Syntactic and Semantic String Repairs
DataVinci learns regular-expression-based patterns that cover a majority of values in a column and reports values that do not satisfy such patterns as data errors.
Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example
After the user provides one or two formatted cells as examples, CORNET generates formatting rule suggestions for the user to apply to the spreadsheet.
What is it like to program with artificial intelligence?
Large language models, such as OpenAI's codex and Deepmind's AlphaCode, can generate code to solve a variety of problems expressed in natural language.
CORNET: Learning Table Formatting Rules By Example
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.
Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model
The task divides into two steps: subject suggestion, the task of populating the main column; and gap filling, the task of populating the remaining columns.
