Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models

Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models

1 April 2025

Yonatan Belinkov

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Papers citing "Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models"

18 / 18 papers shown

Title
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models Michael Toker Ido Galil Hadas Orgad Rinon Gal Yoad Tewel Gal Chechik Yonatan Belinkov DiffM 83 2 0 12 Jan 2025
From Tokens to Words: On the Inner Lexicon of LLMs Guy Kaplan Matanel Oren Yuval Reif Roy Schwartz 84 14 0 08 Oct 2024
Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models Hila Gonen Terra Blevins Alisa Liu Luke Zettlemoyer Noah A. Smith 108 5 0 12 Aug 2024
Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models Asma Ghandeharioun Avi Caciularu Adam Pearce Lucas Dixon Mor Geva 124 114 0 11 Jan 2024
How do Language Models Bind Entities in Context? Jiahai Feng Jacob Steinhardt 125 40 0 26 Oct 2023
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment Royi Rassin Eran Hirsch Daniel Glickman Shauli Ravfogel Yoav Goldberg Gal Chechik DiffM 80 108 0 15 Jun 2023
Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models Hila Chefer Yuval Alaluf Yael Vinker Lior Wolf Daniel Cohen-Or DiffM 119 516 0 31 Jan 2023
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Jiahui Yu Yuanzhong Xu Jing Yu Koh Thang Luong Gunjan Baid ... Zarana Parekh Xin Li Han Zhang Jason Baldridge Yonghui Wu EGVM 200 1,133 0 22 Jun 2022
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 996 29,871 0 26 Feb 2021
Probing Classifiers: Promises, Shortcomings, and Advances Yonatan Belinkov 303 456 0 24 Feb 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 739 18,364 0 19 Jun 2020
Quantifying Attention Flow in Transformers Samira Abnar Willem H. Zuidema 169 803 0 02 May 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 490 20,342 0 23 Oct 2019
Learning to Deceive with Attention-Based Explanations Danish Pruthi Mansi Gupta Bhuwan Dhingra Graham Neubig Zachary Chase Lipton 82 194 0 17 Sep 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,961 0 12 Jul 2019
What Does BERT Look At? An Analysis of BERT's Attention Kevin Clark Urvashi Khandelwal Omer Levy Christopher D. Manning MILM 235 1,605 0 11 Jun 2019
Linguistic Knowledge and Transferability of Contextual Representations Nelson F. Liu Matt Gardner Yonatan Belinkov Matthew E. Peters Noah A. Smith 137 735 0 21 Mar 2019
Attention is not Explanation Sarthak Jain Byron C. Wallace FAtt 148 1,329 0 26 Feb 2019