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87719371 (github.io)
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title
description
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering
image
site name
author
updated
2026-02-24 04:32:35
raw text
TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering More Research Fine-Grained RLHF PromptCap TIFA : Text-to-Image Faithfulness Evaluation with Question Answering Yushi Hu 1 , Benlin Liu 1 , Jungo Kasai 1 , Yizhong Wang 1 , Mari Ostendorf 1 , Ranjay Krishna 1,2 , Noah A. Smith 1,2 1 University of Washington, 2 Allen Institute for AI Paper Code LLaMA 2 Parsing + QA Generation Model TIFA v1.0 Text Inputs + Questions Human Annotations TIFA v1.0 Leaderboard Images synthesized by text-to-image models often do not follow the text inputs well. TIFA is a simple tool to evaluate fine-grained text-image alignment by asking and answering questions about it, utilizing the power of Large Language Models (GPT, LLaMA 2) and Image-to-Text Models (e.g. BLIP-2). Step1: Generate a checklist of question-answer pairs with LLM (now GPT-3). ...
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2026-02-24 04:32:35
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