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e-SNLI: Natural Language Inference with Natural Language Explanations

e-SNLI: Natural Language Inference with Natural Language Explanations

4 December 2018
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
    LRM
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Papers citing "e-SNLI: Natural Language Inference with Natural Language Explanations"

50 / 425 papers shown
Title
MDACE: MIMIC Documents Annotated with Code Evidence
MDACE: MIMIC Documents Annotated with Code Evidence
Hua Cheng
Rana Jafari
April Russell
Russell Klopfer
Edmond Lu
Benjamin Striner
Matthew R. Gormley
35
8
0
07 Jul 2023
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think"
  Step-by-Step
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step
Liunian Harold Li
Jack Hessel
Youngjae Yu
Xiang Ren
Kai-Wei Chang
Yejin Choi
LRM
AI4CE
ReLM
22
129
0
24 Jun 2023
Pushing the Limits of ChatGPT on NLP Tasks
Pushing the Limits of ChatGPT on NLP Tasks
Xiaofei Sun
Linfeng Dong
Xiaoya Li
Zhen Wan
Shuhe Wang
...
Jiwei Li
Fei Cheng
Lingjuan Lyu
Fei Wu
Guoyin Wang
AI4MH
LRM
44
29
0
16 Jun 2023
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
Fabian Paischer
Thomas Adler
M. Hofmarcher
Sepp Hochreiter
26
10
0
15 Jun 2023
Neural models for Factual Inconsistency Classification with Explanations
Neural models for Factual Inconsistency Classification with Explanations
Tathagata Raha
Mukund Choudhary
Abhinav Menon
Harshit Gupta
KV Aditya Srivatsa
Manish Gupta
Vasudeva Varma
19
3
0
15 Jun 2023
FLamE: Few-shot Learning from Natural Language Explanations
FLamE: Few-shot Learning from Natural Language Explanations
Yangqiaoyu Zhou
Yiming Zhang
Chenhao Tan
LRM
FAtt
30
9
0
13 Jun 2023
Few Shot Rationale Generation using Self-Training with Dual Teachers
Few Shot Rationale Generation using Self-Training with Dual Teachers
Aditya Srikanth Veerubhotla
Lahari Poddar
J. Yin
Gyuri Szarvas
S. Eswaran
LRM
18
2
0
05 Jun 2023
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating
  Inconsistencies in Natural Language Explanations
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations
Myeongjun Jang
Bodhisattwa Prasad Majumder
Julian McAuley
Thomas Lukasiewicz
Oana-Maria Camburu
AAML
12
4
0
05 Jun 2023
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
19
1
0
01 Jun 2023
Faithfulness Tests for Natural Language Explanations
Faithfulness Tests for Natural Language Explanations
Pepa Atanasova
Oana-Maria Camburu
Christina Lioma
Thomas Lukasiewicz
J. Simonsen
Isabelle Augenstein
FAtt
35
59
0
29 May 2023
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation
Evaluating GPT-3 Generated Explanations for Hateful Content Moderation
H. Wang
Ming Shan Hee
Rabiul Awal
K. T. W. Choo
Roy Ka-Wei Lee
21
42
0
28 May 2023
CREST: A Joint Framework for Rationalization and Counterfactual Text
  Generation
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
Marcos Vinícius Treviso
Alexis Ross
Nuno M. Guerreiro
André F.T. Martins
29
16
0
26 May 2023
Perturbation-based Self-supervised Attention for Attention Bias in Text
  Classification
Perturbation-based Self-supervised Attention for Attention Bias in Text Classification
Hu Feng
Zhenxi Lin
Qianli Ma
28
4
0
25 May 2023
C-STS: Conditional Semantic Textual Similarity
C-STS: Conditional Semantic Textual Similarity
Ameet Deshpande
Carlos E. Jimenez
Howard Chen
Vishvak Murahari
Victoria Graf
Tanmay Rajpurohit
Ashwin Kalyan
Danqi Chen
Karthik Narasimhan
28
3
0
24 May 2023
SETI: Systematicity Evaluation of Textual Inference
SETI: Systematicity Evaluation of Textual Inference
Xiyan Fu
Anette Frank
LRM
19
5
0
24 May 2023
Machine Reading Comprehension using Case-based Reasoning
Machine Reading Comprehension using Case-based Reasoning
Dung Ngoc Thai
Dhruv Agarwal
Mudit Chaudhary
Wenlong Zhao
Rajarshi Das
Manzil Zaheer
J. Lee
Hannaneh Hajishirzi
Andrew McCallum
28
1
0
24 May 2023
Using Natural Language Explanations to Rescale Human Judgments
Using Natural Language Explanations to Rescale Human Judgments
Manya Wadhwa
Jifan Chen
Junyi Jessy Li
Greg Durrett
43
8
0
24 May 2023
Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in
  Large Language Models
Clever Hans or Neural Theory of Mind? Stress Testing Social Reasoning in Large Language Models
Natalie Shapira
Mosh Levy
S. Alavi
Xuhui Zhou
Yejin Choi
Yoav Goldberg
Maarten Sap
Vered Shwartz
LLMAG
ELM
31
115
0
24 May 2023
Sociocultural Norm Similarities and Differences via Situational
  Alignment and Explainable Textual Entailment
Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment
Sky CH-Wang
Arkadiy Saakyan
Aochong Li
Zhou Yu
Smaranda Muresan
32
16
0
23 May 2023
The CoT Collection: Improving Zero-shot and Few-shot Learning of
  Language Models via Chain-of-Thought Fine-Tuning
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Seungone Kim
Se June Joo
Doyoung Kim
Joel Jang
Seonghyeon Ye
Jamin Shin
Minjoon Seo
ALM
RALM
LRM
23
96
0
23 May 2023
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of
  Implied Social Biases
BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases
Yiming Zhang
Sravani Nanduri
Liwei Jiang
Tongshuang Wu
Maarten Sap
47
7
0
23 May 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly
  Generating Predictions and Natural Language Explanations
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
Jesus Solano
Oana-Maria Camburu
Pasquale Minervini
20
1
0
22 May 2023
Distilling Robustness into Natural Language Inference Models with
  Domain-Targeted Augmentation
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation
Joe Stacey
Marek Rei
32
2
0
22 May 2023
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist
  Examination
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination
Dongfang Li
Jindi Yu
Baotian Hu
Zhenran Xu
Hao Fei
ELM
13
11
0
22 May 2023
Beyond Labels: Empowering Human Annotators with Natural Language
  Explanations through a Novel Active-Learning Architecture
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
34
10
0
22 May 2023
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting
  for Reasoning Skills of Large Language Models
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models
Badr AlKhamissi
Siddharth Verma
Ping Yu
Zhijing Jin
Asli Celikyilmaz
Mona T. Diab
LRM
ReLM
35
10
0
19 May 2023
Prompting with Pseudo-Code Instructions
Prompting with Pseudo-Code Instructions
Mayank Mishra
Prince Kumar
Riyaz Ahmad Bhat
V. Rudramurthy
Danish Contractor
Srikanth G. Tamilselvam
45
13
0
19 May 2023
Solving NLP Problems through Human-System Collaboration: A
  Discussion-based Approach
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach
Masahiro Kaneko
Graham Neubig
Naoaki Okazaki
39
6
0
19 May 2023
Explaining black box text modules in natural language with language
  models
Explaining black box text modules in natural language with language models
Chandan Singh
Aliyah R. Hsu
Richard Antonello
Shailee Jain
Alexander G. Huth
Bin-Xia Yu
Jianfeng Gao
MILM
34
47
0
17 May 2023
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to
  Support Human-AI Scientific Writing
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing
Hua Shen
Huang Chieh-Yang
Tongshuang Wu
Ting-Hao 'Kenneth' Huang
23
37
0
16 May 2023
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness,
  Consistency, and Credibility
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility
Wen-song Ye
Mingfeng Ou
Tianyi Li
Yipeng Chen
Xuetao Ma
...
Sai Wu
Jie Fu
Gang Chen
Haobo Wang
J. Zhao
46
36
0
15 May 2023
What's the Meaning of Superhuman Performance in Today's NLU?
What's the Meaning of Superhuman Performance in Today's NLU?
Simone Tedeschi
Johan Bos
T. Declerck
Jan Hajic
Daniel Hershcovich
...
Simon Krek
Steven Schockaert
Rico Sennrich
Ekaterina Shutova
Roberto Navigli
ELM
LM&MA
VLM
ReLM
LRM
39
26
0
15 May 2023
Distinguish Before Answer: Generating Contrastive Explanation as
  Knowledge for Commonsense Question Answering
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
21
9
0
14 May 2023
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models
Wei-Lin Chen
An-Zi Yen
Cheng-Kuang Wu
Hen-Hsen Huang
Hsin-Hsi Chen
ReLM
LRM
24
10
0
12 May 2023
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving
  Human Utility of Free-Text Rationales
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales
Brihi Joshi
Ziyi Liu
Sahana Ramnath
Aaron Chan
Zhewei Tong
Shaoliang Nie
Qifan Wang
Yejin Choi
Xiang Ren
HAI
LRM
34
29
0
11 May 2023
Say What You Mean! Large Language Models Speak Too Positively about
  Negative Commonsense Knowledge
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge
Jiangjie Chen
Wei Shi
Ziquan Fu
Sijie Cheng
Lei Li
Yanghua Xiao
32
46
0
10 May 2023
Explanation-based Finetuning Makes Models More Robust to Spurious Cues
Explanation-based Finetuning Makes Models More Robust to Spurious Cues
Josh Magnus Ludan
Yixuan Meng
Nguyen Tai
Saurabh Shah
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
AAML
LRM
28
17
0
08 May 2023
Improved Logical Reasoning of Language Models via Differentiable
  Symbolic Programming
Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming
Hanlin Zhang
Jiani Huang
Ziyang Li
Mayur Naik
Eric P. Xing
ReLM
LRM
30
28
0
05 May 2023
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
Bingsheng Yao
Prithviraj Sen
Lucian Popa
James A. Hendler
Dakuo Wang
XAI
ELM
FAtt
25
10
0
04 May 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
220
502
0
03 May 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
SCOTT: Self-Consistent Chain-of-Thought Distillation
Jamie Yap
Zhengyang Wang
Zheng Li
K. Lynch
Bing Yin
Xiang Ren
LRM
70
93
0
03 May 2023
Learning to Reason and Memorize with Self-Notes
Learning to Reason and Memorize with Self-Notes
Jack Lanchantin
Shubham Toshniwal
Jason Weston
Arthur Szlam
Sainbayar Sukhbaatar
ReLM
LRM
LLMAG
98
29
0
01 May 2023
Understanding and Predicting Human Label Variation in Natural Language
  Inference through Explanation
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation
Nan-Jiang Jiang
Chenhao Tan
M. Marneffe
35
2
0
24 Apr 2023
Learning Personalized Decision Support Policies
Learning Personalized Decision Support Policies
Umang Bhatt
Valerie Chen
Katherine M. Collins
Parameswaran Kamalaruban
Emma Kallina
Adrian Weller
Ameet Talwalkar
OffRL
56
10
0
13 Apr 2023
Training Language Models with Language Feedback at Scale
Training Language Models with Language Feedback at Scale
Jérémy Scheurer
Jon Ander Campos
Tomasz Korbak
Jun Shern Chan
Angelica Chen
Kyunghyun Cho
Ethan Perez
ALM
48
103
0
28 Mar 2023
Improving Code Generation by Training with Natural Language Feedback
Improving Code Generation by Training with Natural Language Feedback
Angelica Chen
Jérémy Scheurer
Tomasz Korbak
Jon Ander Campos
Jun Shern Chan
Samuel R. Bowman
Kyunghyun Cho
Ethan Perez
SyDa
ALM
AI4CE
39
76
0
28 Mar 2023
Natural Language Reasoning, A Survey
Natural Language Reasoning, A Survey
Fei Yu
Hongbo Zhang
Prayag Tiwari
Benyou Wang
ReLM
LRM
49
53
0
26 Mar 2023
Automatic Prompt Augmentation and Selection with Chain-of-Thought from
  Labeled Data
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data
Kashun Shum
Shizhe Diao
Tong Zhang
ReLM
LRM
28
129
0
24 Feb 2023
Bridging the Transparency Gap: What Can Explainable AI Learn From the AI
  Act?
Bridging the Transparency Gap: What Can Explainable AI Learn From the AI Act?
Balint Gyevnar
Nick Ferguson
Burkhard Schafer
43
15
0
21 Feb 2023
Parallel Sentence-Level Explanation Generation for Real-World
  Low-Resource Scenarios
Parallel Sentence-Level Explanation Generation for Real-World Low-Resource Scenarios
Yong-Jin Liu
Xiaokang Chen
Qianwen Dai
LRM
22
4
0
21 Feb 2023
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