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.
no code implementations • 1 Nov 2023 • Advait Sarkar
We outline some reasons that traditional programming languages may still be relevant and useful for end-user programmers.
no code implementations • 2 Oct 2023 • Andrew D. Gordon, Carina Negreanu, José Cambronero, Rasika Chakravarthy, Ian Drosos, Hao Fang, Bhaskar Mitra, Hannah Richardson, Advait Sarkar, Stephanie Simmons, Jack Williams, Ben Zorn
Hence, we are seeing the emergence of tool-assisted experiences to help the user double-check a piece of AI-generated content.
no code implementations • 20 Jul 2023 • Advait Sarkar
In this position paper, using examples from literary criticism, the history of art, and copyright law, I show how creativity and originality resist definition as a notatable or information-theoretic property of an object, and instead can be seen as the property of a process, an author, or a viewer.
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.
no code implementations • 17 May 2022 • Advait Sarkar
Explaining the behaviour of intelligent systems will get increasingly and perhaps intractably challenging as models grow in size and complexity.
no code implementations • WS 2019 • Sian Gooding, Ekaterina Kochmar, Advait Sarkar, Alan Blackwell
Lexical simplification systems replace complex words with simple ones based on a model of which words are complex in context.