Solving Data-centric Tasks using Large Language Models

no code implementations • 18 Feb 2024 • Shraddha Barke, Christian Poelitz, Carina Suzana Negreanu, Benjamin Zorn, José Cambronero, Andrew D. Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams

Large language models (LLMs) are rapidly replacing help forums like StackOverflow, and are especially helpful for non-professional programmers and end users.

InstructExcel: A Benchmark for Natural Language Instruction in Excel

no code implementations • 23 Oct 2023 • Justin Payan, Swaroop Mishra, Mukul Singh, Carina Negreanu, Christian Poelitz, Chitta Baral, Subhro Roy, Rasika Chakravarthy, Benjamin Van Durme, Elnaz Nouri

With the evolution of Large Language Models (LLMs) we can solve increasingly more complex NLP tasks across various domains, including spreadsheets.

What is it like to program with artificial intelligence?

no code implementations • 12 Aug 2022 • Advait Sarkar, Andrew D. Gordon, Carina Negreanu, Christian Poelitz, Sruti Srinivasa Ragavan, Ben Zorn

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.

Enhancing the possibilities of corpus-based investigations: Word sense disambiguation on query results of large text corpora

no code implementations • WS 2014 • Christian Poelitz, Thomas Bartz

Topic Models Word Sense Disambiguation