ALICE: Active Learning with Contrastive Natural Language Explanations

ALICE: Active Learning with Contrastive Natural Language Explanations

22 September 2020

Papers citing "ALICE: Active Learning with Contrastive Natural Language Explanations"

16 / 16 papers shown

Title
Predictive Chemistry Augmented with Text Retrieval Yujie Qian Zhening Li Zhengkai Tu Connor W. Coley Regina Barzilay 23 7 0 08 Dec 2023
Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering Qianglong Chen Guohai Xu Mingshi Yan Ji Zhang Fei Huang Luo Si Yin Zhang 18 9 0 14 May 2023
User or Labor: An Interaction Framework for Human-Machine Relationships in NLP Ruyuan Wan Naome A. Etori Karla A. Badillo-Urquiola Dongyeop Kang 9 8 0 03 Nov 2022
A Survey of Active Learning for Natural Language Processing Zhisong Zhang Emma Strubell Eduard H. Hovy LM&MA 33 65 0 18 Oct 2022
Improved Robust Algorithms for Learning with Discriminative Feature Feedback Sivan Sabato 10 0 0 08 Sep 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 30 16 0 13 Jun 2022
SemSup: Semantic Supervision for Simple and Scalable Zero-shot Generalization Austin W. Hanjie A. Deshpande Karthik Narasimhan VLM 36 2 0 26 Feb 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts Weixin Liang James Zou OOD 40 82 0 14 Feb 2022
We Need to Talk About Data: The Importance of Data Readiness in Natural Language Processing Fredrik Olsson Magnus Sahlgren 21 1 0 11 Oct 2021
Leveraging Language to Learn Program Abstractions and Search Heuristics Catherine Wong Kevin Ellis J. Tenenbaum Jacob Andreas 18 54 0 18 Jun 2021
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social Conversations Weixin Liang Kai-Hui Liang Zhou Yu 34 15 0 01 Jun 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 30 45 0 16 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 114 27,772 0 26 Feb 2021
When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data Peter Hase Joey Tianyi Zhou XAI 16 87 0 03 Feb 2021
ExpBERT: Representation Engineering with Natural Language Explanations Shikhar Murty Pang Wei Koh Percy Liang 46 43 0 05 May 2020
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 170 840 0 17 May 2016