ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2005.00806
  4. Cited By
Teaching Machine Comprehension with Compositional Explanations

Teaching Machine Comprehension with Compositional Explanations

2 May 2020
Qinyuan Ye
Xiao Huang
Elizabeth Boschee
Xiang Ren
    LRM
    ReLM
ArXivPDFHTML

Papers citing "Teaching Machine Comprehension with Compositional Explanations"

12 / 12 papers shown
Title
A look under the hood of the Interactive Deep Learning Enterprise
  (No-IDLE)
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
Daniel Sonntag
Michael Barz
Thiago S. Gouvêa
VLM
52
4
0
27 Jun 2024
Explanation Graph Generation via Generative Pre-training over Synthetic
  Graphs
Explanation Graph Generation via Generative Pre-training over Synthetic Graphs
H. Cui
Sha Li
Yu Zhang
Qi Shi
26
1
0
01 Jun 2023
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and review
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Ryan Cotterell
Zhijing Jin
129
95
0
06 Oct 2022
An Interpretability Evaluation Benchmark for Pre-trained Language Models
An Interpretability Evaluation Benchmark for Pre-trained Language Models
Ya-Ming Shen
Lijie Wang
Ying-Cong Chen
Xinyan Xiao
Jing Liu
Hua Wu
39
4
0
28 Jul 2022
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP
A Fine-grained Interpretability Evaluation Benchmark for Neural NLP
Lijie Wang
Yaozong Shen
Shu-ping Peng
Shuai Zhang
Xinyan Xiao
Hao Liu
Hongxuan Tang
Ying-Cong Chen
Hua Wu
Haifeng Wang
ELM
19
21
0
23 May 2022
METGEN: A Module-Based Entailment Tree Generation Framework for Answer
  Explanation
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation
Ruixin Hong
Hongming Zhang
Xintong Yu
Changshui Zhang
ReLM
LRM
32
33
0
05 May 2022
CLUES: A Benchmark for Learning Classifiers using Natural Language
  Explanations
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations
Rakesh R Menon
Sayan Ghosh
Shashank Srivastava
LRM
ELM
29
9
0
14 Apr 2022
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with
  Auxiliary Trigger Extraction
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction
Dong-Ho Lee
Ravi Kiran Selvam
Sheikh Muhammad Sarwar
Bill Yuchen Lin
Fred Morstatter
Jay Pujara
Elizabeth Boschee
James Allan
Xiang Ren
39
2
0
10 Sep 2021
On the Diversity and Limits of Human Explanations
On the Diversity and Limits of Human Explanations
Chenhao Tan
19
31
0
22 Jun 2021
multiPRover: Generating Multiple Proofs for Improved Interpretability in
  Rule Reasoning
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
Swarnadeep Saha
Prateek Yadav
Joey Tianyi Zhou
ReLM
LRM
24
26
0
02 Jun 2021
How Can We Accelerate Progress Towards Human-like Linguistic
  Generalization?
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen
220
190
0
03 May 2020
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
287
623
0
04 Dec 2018
1