most cited"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models

115 citations · 232 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC202320 cited

Should Computers Be Easy To Use? Questioning the Doctrine of Simplicity in User Interface Design

Advait Sarkar

That computers should be easy to learn and use is a rarely-questioned tenet of user interface design. But what do we gain from prioritising usability and learnability, and what do…

cs.HC202347 cited

Enough With "Human-AI Collaboration"

Advait Sarkar

Describing our interaction with Artificial Intelligence (AI) systems as 'collaboration' is well-intentioned, but flawed. Not only is it misleading, but it also takes away the credi…

cs.HC20233 cited

User Perceptions of Automatic Fake News Detection: Can Algorithms Fight Online Misinformation?

Bruno Tafur, Advait Sarkar

Fake news detection algorithms apply machine learning to various news attributes and their relationships. However, their success is usually evaluated based on how the algorithm per…

cs.HC2023115 cited

"What It Wants Me To Say": Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models

Michael Xieyang Liu, Advait Sarkar, Carina Negreanu +4

Code-generating large language models translate natural language into code. However, only a small portion of the infinite space of naturalistic utterances is effective at guiding c…

cs.HC202247 cited

What is it like to program with artificial intelligence?

Advait Sarkar, Andrew D. Gordon, Carina Negreanu +3

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. This technology has already…