Do Human Rationales Improve Machine Explanations?

31 May 2019

Papers citing "Do Human Rationales Improve Machine Explanations?"

10 / 10 papers shown

Title
Evaluating Human Alignment and Model Faithfulness of LLM Rationale Mohsen Fayyaz Fan Yin Jiao Sun Nanyun Peng 55 3 0 28 Jun 2024
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models Byung-Kwan Lee Chae Won Kim Beomchan Park Yonghyun Ro MLLM LRM 31 17 0 24 May 2024
Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales Lucas Resck Marcos M. Raimundo Jorge Poco 42 1 0 03 Apr 2024
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations Nils Feldhus Qianli Wang Tatiana Anikina Sahil Chopra Cennet Oguz Sebastian Möller 32 9 0 09 Oct 2023
Interpreting Sentiment Composition with Latent Semantic Tree Zhongtao Jiang Yuanzhe Zhang Cao Liu Jiansong Chen Jun Zhao Kang Liu CoGe 24 0 0 31 Aug 2023
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text Rationales Aaron Chan Shaoliang Nie Liang Tan Xiaochang Peng Hamed Firooz Maziar Sanjabi Xiang Ren 40 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 36 41 0 16 Dec 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations Bodhisattwa Prasad Majumder Oana-Maria Camburu Thomas Lukasiewicz Julian McAuley 23 35 0 25 Jun 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 21 137 0 17 May 2021
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 14 25 0 07 Oct 2020