RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models

Ziyi Kou; Shichao Pei; Meng Jiang; Xiangliang Zhang

RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models

Ziyi Kou
, Shichao Pei
, Meng Jiang
, Xiangliang Zhang

Computer Science

University of Notre Dame

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference
Editors	Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
Publisher	Association for Computational Linguistics (ACL)
Pages	20561-20570
Number of pages	10
ISBN (Electronic)	9798891761643
State	Published - 2024
Event	2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024 - Hybrid, Miami, United States Duration: Nov 12 2024 → Nov 16 2024

Publication series

Name	EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Conference

Conference	2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024
Country/Territory	United States
City	Hybrid, Miami
Period	11/12/24 → 11/16/24

ASJC Scopus Subject Areas

Computational Theory and Mathematics
Computer Science Applications
Information Systems
Linguistics and Language

Cite this

Kou, Z., Pei, S., Jiang, M., & Zhang, X. (2024). RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models. In Y. Al-Onaizan, M. Bansal, & Y.-N. Chen (Eds.), EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference (pp. 20561-20570). (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference). Association for Computational Linguistics (ACL).

RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models. / Kou, Ziyi; Pei, Shichao; Jiang, Meng et al.
EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. ed. / Yaser Al-Onaizan; Mohit Bansal; Yun-Nung Chen. Association for Computational Linguistics (ACL), 2024. p. 20561-20570 (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kou, Z, Pei, S, Jiang, M & Zhang, X 2024, RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models. in Y Al-Onaizan, M Bansal & Y-N Chen (eds), EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, Association for Computational Linguistics (ACL), pp. 20561-20570, 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Hybrid, Miami, United States, 11/12/24.

Kou Z, Pei S, Jiang M, Zhang X. RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models. In Al-Onaizan Y, Bansal M, Chen YN, editors, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL). 2024. p. 20561-20570. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

Kou, Ziyi ; Pei, Shichao ; Jiang, Meng et al. / RAt : Injecting Implicit Bias for Text-To-Image Prompt Refinement Models. EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. editor / Yaser Al-Onaizan ; Mohit Bansal ; Yun-Nung Chen. Association for Computational Linguistics (ACL), 2024. pp. 20561-20570 (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

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title = "RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models",

author = "Ziyi Kou and Shichao Pei and Meng Jiang and Xiangliang Zhang",

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BT - EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

A2 - Al-Onaizan, Yaser

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PB - Association for Computational Linguistics (ACL)

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ER -

RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models

Publication series

Conference

ASJC Scopus Subject Areas

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