Introduces Image Reconstruction Game benchmark showing describer model dominates reconstruction quality in multi-turn VLM-generator dialogue, with math images hardest and token budget affecting convergence.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Adaptive Prompt Elicitation (APE) uses an information-theoretic framework to generate visual queries that elicit and compile user intent into better prompts for text-to-image models, showing improved alignment in benchmarks and a user study.
citing papers explorer
-
The Image Reconstruction Game: Drawing Common Ground Through Iterative Multimodal Dialogue
Introduces Image Reconstruction Game benchmark showing describer model dominates reconstruction quality in multi-turn VLM-generator dialogue, with math images hardest and token budget affecting convergence.
-
Adaptive Prompt Elicitation for Text-to-Image Generation
Adaptive Prompt Elicitation (APE) uses an information-theoretic framework to generate visual queries that elicit and compile user intent into better prompts for text-to-image models, showing improved alignment in benchmarks and a user study.