FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale
Generation

FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation

31 December 2020

Kushal Lakhotia

Bhargavi Paranjape

Yashar Mehdad

Papers citing "FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation"

8 / 8 papers shown

Title
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales Lucas Resck Marcos M. Raimundo Jorge Poco 50 1 0 03 Apr 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery Linan Yue Qi Liu Yichao Du Li Wang Weibo Gao Yanqing An 34 5 0 12 Mar 2024
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies Pradyumna Tambwekar Matthew C. Gombolay 28 8 0 13 Jan 2023
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation Sebastian Hofstatter Jiecao Chen K. Raman Hamed Zamani RALM 63 77 0 28 Sep 2022
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text Rationales Aaron Chan Shaoliang Nie Liang Tan Xiaochang Peng Hamed Firooz Maziar Sanjabi Xiang Ren 47 9 0 02 Jul 2022
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction Aaron Chan Maziar Sanjabi Lambert Mathias L Tan Shaoliang Nie Xiaochang Peng Xiang Ren Hamed Firooz 41 41 0 16 Dec 2021
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 282 170 0 24 Oct 2020
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 260 620 0 04 Dec 2018