Layer-normalized averaging of all decoder-only LLM hidden states, rather than last-layer embeddings, improves text-to-image compositional alignment and beats T5 on GenAI-Bench.
Textdiffuser-2: Unleashing the power of language models for text rendering
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation
Layer-normalized averaging of all decoder-only LLM hidden states, rather than last-layer embeddings, improves text-to-image compositional alignment and beats T5 on GenAI-Bench.