PlayCoder raises the rate of LLM-generated GUI apps that can be played end-to-end without logic errors from near zero to 20.3% Play@3 by adding repository-aware generation, agent-driven testing, and iterative repair.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.SE 2years
2026 2representative citing papers
PersonaTester uses LLMs guided by three-dimensional personas to replicate crowdworker testing patterns, yielding higher behavioral consistency, variability, and more bug detections than baseline LLM agents.
citing papers explorer
-
PlayCoder: Making LLM-Generated GUI Code Playable
PlayCoder raises the rate of LLM-generated GUI apps that can be played end-to-end without logic errors from near zero to 20.3% Play@3 by adding repository-aware generation, agent-driven testing, and iterative repair.
-
Towards Automated Crowdsourced Testing via Personified-LLM
PersonaTester uses LLMs guided by three-dimensional personas to replicate crowdworker testing patterns, yielding higher behavioral consistency, variability, and more bug detections than baseline LLM agents.