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CREST: A Joint Framework for Rationalization and Counterfactual Text Generation

CREST: A Joint Framework for Rationalization and Counterfactual Text Generation

Marcos Vinícius Treviso
Alexis Ross
Nuno M. Guerreiro
André F.T. Martins
ArXiv (abs)PDFHTML

Papers citing "CREST: A Joint Framework for Rationalization and Counterfactual Text Generation"

6 / 6 papers shown
Title
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation
Deriving Strategic Market Insights with Large Language Models: A Benchmark for Forward Counterfactual Generation
Keane Ong
Rui Mao
Deeksha Varshney
Paul Pu Liang
Erik Cambria
G. Mengaldo
AIFinOffRL
34
0
0
26 May 2025
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
Qianli Wang
Nils Feldhus
Simon Ostermann
Luis Felipe Villa-Arenas
Sebastian Möller
Vera Schmitt
AAML
146
1
0
01 Jan 2025
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers
Lam Nguyen Tung
Steven Cho
Xiaoning Du
Neelofar Neelofar
Valerio Terragni
Stefano Ruberto
Aldeida Aleti
559
2
0
30 Oct 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
149
16
0
27 Jul 2024
A Survey on Natural Language Counterfactual Generation
A Survey on Natural Language Counterfactual Generation
Yongjie Wang
Xiaoqi Qiu
Yu Yue
Xu Guo
Zhiwei Zeng
Yuhong Feng
Zhiqi Shen
91
9
0
04 Jul 2024
Mitigating Text Toxicity with Counterfactual Generation
Mitigating Text Toxicity with Counterfactual Generation
Milan Bhan
Jean-Noel Vittaut
Nina Achache
Victor Legrand
Nicolas Chesneau
A. Blangero
Juliette Murris
Marie-Jeanne Lesot
MedIm
224
0
0
16 May 2024

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