Are Human Explanations Always Helpful? Towards Objective Evaluation of
Human Natural Language Explanations

Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations

4 May 2023

Bingsheng Yao

James A. Hendler

Papers citing "Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations"

12 / 12 papers shown

Title
Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction Jingheng Ye Shang Qin Yinghui Li Hai-Tao Zheng Shen Wang Qingsong Wen 52 0 0 24 Feb 2025
Understanding the Effect of Algorithm Transparency of Model Explanations in Text-to-SQL Semantic Parsing Daking Rai Rydia R. Weiland Kayla Margaret Gabriella Herrera Tyler H. Shaw Ziyu Yao 24 1 0 05 Oct 2024
ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales? Fan Huang Haewoon Kwak Kunwoo Park Jisun An ALM ELM AI4MH 18 12 0 26 Mar 2024
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering Bingsheng Yao Guiming Hardy Chen Ruishi Zou Yuxuan Lu Jiachen Li Shao Zhang Yisi Sang Sijia Liu James A. Hendler Dakuo Wang 35 13 0 16 Nov 2023
Large Language Models are In-context Teachers for Knowledge Reasoning Jiachen Zhao Zonghai Yao Zhichao Yang Hong-ye Yu ReLM LRM 27 1 0 12 Nov 2023
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture Bingsheng Yao Ishan Jindal Lucian Popa Yannis Katsis Sayan Ghosh ... Yuxuan Lu Shashank Srivastava Yunyao Li James A. Hendler Dakuo Wang 32 10 0 22 May 2023
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens Nitish Joshi X. Pan Hengxing He CML 44 28 0 25 Oct 2022
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 274 170 0 24 Oct 2020
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI Dakuo Wang Justin D. Weisz Michael J. Muller Parikshit Ram Werner Geyer Casey Dugan Y. Tausczik Horst Samulowitz Alexander G. Gray 166 309 0 05 Sep 2019
e-SNLI: Natural Language Inference with Natural Language Explanations Oana-Maria Camburu Tim Rocktaschel Thomas Lukasiewicz Phil Blunsom LRM 252 620 0 04 Dec 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017