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CEval: A Benchmark for Evaluating Counterfactual Text Generation

CEval: A Benchmark for Evaluating Counterfactual Text Generation

26 April 2024
Van Bach Nguyen
Jorg Schlotterer
Christin Seifert
ArXivPDFHTML

Papers citing "CEval: A Benchmark for Evaluating Counterfactual Text Generation"

6 / 6 papers shown
Title
Counterfactual Token Generation in Large Language Models
Counterfactual Token Generation in Large Language Models
Ivi Chatzi
N. C. Benz
Eleni Straitouri
Stratis Tsirtsis
Manuel Gomez Rodriguez
LRM
34
3
0
25 Sep 2024
Can Large Language Models Be an Alternative to Human Evaluations?
Can Large Language Models Be an Alternative to Human Evaluations?
Cheng-Han Chiang
Hung-yi Lee
ALM
LM&MA
209
559
0
03 May 2023
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
Tanay Dixit
Bhargavi Paranjape
Hannaneh Hajishirzi
Luke Zettlemoyer
SyDa
133
23
0
10 Oct 2022
Tailor: Generating and Perturbing Text with Semantic Controls
Tailor: Generating and Perturbing Text with Semantic Controls
Alexis Ross
Tongshuang Wu
Hao Peng
Matthew E. Peters
Matt Gardner
134
77
0
15 Jul 2021
Gradient-based Adversarial Attacks against Text Transformers
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo
Alexandre Sablayrolles
Hervé Jégou
Douwe Kiela
SILM
98
225
0
15 Apr 2021
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
252
618
0
04 Dec 2018
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