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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
ArXivPDFHTML

Papers citing "e-SNLI: Natural Language Inference with Natural Language Explanations"

50 / 425 papers shown
Title
Are self-explanations from Large Language Models faithful?
Are self-explanations from Large Language Models faithful?
Andreas Madsen
Sarath Chandar
Siva Reddy
LRM
30
25
0
15 Jan 2024
The Critique of Critique
The Critique of Critique
Shichao Sun
Junlong Li
Weizhe Yuan
Ruifeng Yuan
Wenjie Li
Pengfei Liu
ELM
40
0
0
09 Jan 2024
Don't Believe Everything You Read: Enhancing Summarization
  Interpretability through Automatic Identification of Hallucinations in Large
  Language Models
Don't Believe Everything You Read: Enhancing Summarization Interpretability through Automatic Identification of Hallucinations in Large Language Models
Priyesh Vakharia
Devavrat Joshi
Meenal Chavan
Dhananjay Sonawane
Bhrigu Garg
Parsa Mazaheri
HILM
41
1
0
22 Dec 2023
Towards More Faithful Natural Language Explanation Using Multi-Level
  Contrastive Learning in VQA
Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA
Chengen Lai
Shengli Song
Shiqi Meng
Jingyang Li
Sitong Yan
Guangneng Hu
23
5
0
21 Dec 2023
ALMANACS: A Simulatability Benchmark for Language Model Explainability
ALMANACS: A Simulatability Benchmark for Language Model Explainability
Edmund Mills
Shiye Su
Stuart J. Russell
Scott Emmons
54
7
0
20 Dec 2023
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
Yougang Lyu
Jitai Hao
Zihan Wang
Kai Zhao
Shen Gao
Pengjie Ren
Zhumin Chen
Fang Wang
Zhaochun Ren
AILaw
19
9
0
10 Dec 2023
A Study on the Calibration of In-context Learning
A Study on the Calibration of In-context Learning
Hanlin Zhang
Yi-Fan Zhang
Yaodong Yu
Dhruv Madeka
Dean Phillips Foster
Eric Xing
Hima Lakkaraju
Sham Kakade
34
15
0
07 Dec 2023
Understanding Your Agent: Leveraging Large Language Models for Behavior
  Explanation
Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation
Xijia Zhang
Yue (Sophie) Guo
Simon Stepputtis
Katia P. Sycara
Joseph Campbell
LLMAG
LM&Ro
28
1
0
29 Nov 2023
More Samples or More Prompts? Exploring Effective In-Context Sampling
  for LLM Few-Shot Prompt Engineering
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
45
13
0
16 Nov 2023
Where Do People Tell Stories Online? Story Detection Across Online
  Communities
Where Do People Tell Stories Online? Story Detection Across Online Communities
Maria Antoniak
Joel Mire
Maarten Sap
Elliott Ash
Andrew Piper
42
10
0
16 Nov 2023
Rescue: Ranking LLM Responses with Partial Ordering to Improve Response
  Generation
Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation
Yikun Wang
Rui Zheng
Haoming Li
Qi Zhang
Tao Gui
Fei Liu
OffRL
25
3
0
15 Nov 2023
XplainLLM: A QA Explanation Dataset for Understanding LLM
  Decision-Making
XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making
Zichen Chen
Jianda Chen
Mitali Gaidhani
Ambuj K. Singh
Misha Sra
38
4
0
15 Nov 2023
Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference
Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference
Lasha Abzianidze
LRM
XAI
18
0
0
15 Nov 2023
Using Natural Language Explanations to Improve Robustness of In-context
  Learning
Using Natural Language Explanations to Improve Robustness of In-context Learning
Xuanli He
Yuxiang Wu
Oana-Maria Camburu
Pasquale Minervini
Pontus Stenetorp
AAML
31
1
0
13 Nov 2023
On Measuring Faithfulness or Self-consistency of Natural Language
  Explanations
On Measuring Faithfulness or Self-consistency of Natural Language Explanations
Letitia Parcalabescu
Anette Frank
LRM
74
22
0
13 Nov 2023
Explanation-aware Soft Ensemble Empowers Large Language Model In-context
  Learning
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
Yue Yu
Jiaming Shen
Tianqi Liu
Zhen Qin
Jing Nathan Yan
Jialu Liu
Chao Zhang
Michael Bendersky
54
6
0
13 Nov 2023
Characterizing Large Language Models as Rationalizers of
  Knowledge-intensive Tasks
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks
Aditi Mishra
Sajjadur Rahman
H. Kim
Kushan Mitra
Estevam R. Hruschka
21
6
0
09 Nov 2023
Little Giants: Exploring the Potential of Small LLMs as Evaluation
  Metrics in Summarization in the Eval4NLP 2023 Shared Task
Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task
Neema Kotonya
Saran Krishnasamy
Joel R. Tetreault
Alejandro Jaimes
24
9
0
01 Nov 2023
Interpretable-by-Design Text Understanding with Iteratively Generated
  Concept Bottleneck
Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck
Josh Magnus Ludan
Qing Lyu
Yue Yang
Liam Dugan
Mark Yatskar
Chris Callison-Burch
35
4
0
30 Oct 2023
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language
  Modeling Likewise
TeacherLM: Teaching to Fish Rather Than Giving the Fish, Language Modeling Likewise
Nan He
Hanyu Lai
Chenyang Zhao
Zirui Cheng
Junting Pan
...
Zhaohui Hou
Zhiyuan Huang
Shaoqing Lu
Ding Liang
Mingjie Zhan
LRM
29
13
0
29 Oct 2023
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts
  and Rationales for Disambiguating Defeasible Social and Moral Situations
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
Kavel Rao
Liwei Jiang
Valentina Pyatkin
Yuling Gu
Niket Tandon
Nouha Dziri
Faeze Brahman
Yejin Choi
26
15
0
24 Oct 2023
Cross-Modal Conceptualization in Bottleneck Models
Cross-Modal Conceptualization in Bottleneck Models
Danis Alukaev
S. Kiselev
Ilya S. Pershin
Bulat Ibragimov
Vladimir Ivanov
Alexey Kornaev
Ivan Titov
41
7
0
23 Oct 2023
REFER: An End-to-end Rationale Extraction Framework for Explanation
  Regularization
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization
Mohammad Reza Ghasemi Madani
Pasquale Minervini
35
4
0
22 Oct 2023
Can Language Models Laugh at YouTube Short-form Videos?
Can Language Models Laugh at YouTube Short-form Videos?
Dayoon Ko
Sangho Lee
Gunhee Kim
36
7
0
22 Oct 2023
Ecologically Valid Explanations for Label Variation in NLI
Ecologically Valid Explanations for Label Variation in NLI
Nan-Jiang Jiang
Chenhao Tan
M. Marneffe
FAtt
29
4
0
20 Oct 2023
Explainable Depression Symptom Detection in Social Media
Explainable Depression Symptom Detection in Social Media
Eliseo Bao Souto
Anxo Perez
Javier Parapar
30
5
0
20 Oct 2023
Explaining Interactions Between Text Spans
Explaining Interactions Between Text Spans
Sagnik Ray Choudhury
Pepa Atanasova
Isabelle Augenstein
23
1
0
20 Oct 2023
Rather a Nurse than a Physician -- Contrastive Explanations under
  Investigation
Rather a Nurse than a Physician -- Contrastive Explanations under Investigation
Oliver Eberle
Ilias Chalkidis
Laura Cabello
Stephanie Brandl
26
9
0
18 Oct 2023
Can Large Language Models Explain Themselves? A Study of LLM-Generated
  Self-Explanations
Can Large Language Models Explain Themselves? A Study of LLM-Generated Self-Explanations
Shiyuan Huang
Siddarth Mamidanna
Shreedhar Jangam
Yilun Zhou
Leilani H. Gilpin
LRM
MILM
ELM
43
66
0
17 Oct 2023
EXMODD: An EXplanatory Multimodal Open-Domain Dialogue dataset
EXMODD: An EXplanatory Multimodal Open-Domain Dialogue dataset
Hang Yin
Pinren Lu
Ziang Li
Bin Sun
Kan Li
39
0
0
17 Oct 2023
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification
Huanhuan Ma
Weizhi Xu
Yifan Wei
Liuji Chen
Liang Wang
Qiang Liu
Shu Wu
Liang Wang
32
14
0
15 Oct 2023
Visual Attention Prompted Prediction and Learning
Visual Attention Prompted Prediction and Learning
Yifei Zhang
Siyi Gu
Bo Pan
Guangji Bai
Meikang Qiu
Xiaofeng Yang
Liang Zhao
LRM
VLM
38
2
0
12 Oct 2023
Dynamic Top-k Estimation Consolidates Disagreement between Feature
  Attribution Methods
Dynamic Top-k Estimation Consolidates Disagreement between Feature Attribution Methods
Jonathan Kamp
Lisa Beinborn
Antske Fokkens
FAtt
41
1
0
09 Oct 2023
InterroLang: Exploring NLP Models and Datasets through Dialogue-based
  Explanations
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
Nils Feldhus
Qianli Wang
Tatiana Anikina
Sahil Chopra
Cennet Oguz
Sebastian Möller
34
11
0
09 Oct 2023
Measuring Information in Text Explanations
Measuring Information in Text Explanations
Zining Zhu
Frank Rudzicz
FAtt
32
0
0
06 Oct 2023
SocREval: Large Language Models with the Socratic Method for
  Reference-Free Reasoning Evaluation
SocREval: Large Language Models with the Socratic Method for Reference-Free Reasoning Evaluation
Hangfeng He
Hongming Zhang
Dan Roth
LRM
ELM
ReLM
30
13
0
29 Sep 2023
Towards LLM-guided Causal Explainability for Black-box Text Classifiers
Towards LLM-guided Causal Explainability for Black-box Text Classifiers
Amrita Bhattacharjee
Raha Moraffah
Joshua Garland
Huan Liu
32
33
0
23 Sep 2023
Explaining Agent Behavior with Large Language Models
Explaining Agent Behavior with Large Language Models
Xijia Zhang
Yue (Sophie) Guo
Simon Stepputtis
Katia P. Sycara
Joseph Campbell
LM&Ro
LLMAG
38
6
0
19 Sep 2023
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence
  across Paragraphs
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs
Juan Diego Rodriguez
Katrin Erk
Greg Durrett
36
4
0
16 Sep 2023
ICLEF: In-Context Learning with Expert Feedback for Explainable Style
  Transfer
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer
Arkadiy Saakyan
Smaranda Muresan
26
3
0
15 Sep 2023
Learning by Self-Explaining
Learning by Self-Explaining
Wolfgang Stammer
Felix Friedrich
David Steinmann
Manuel Brack
Hikaru Shindo
Kristian Kersting
29
7
0
15 Sep 2023
Reward Engineering for Generating Semi-structured Explanation
Reward Engineering for Generating Semi-structured Explanation
Jiuzhou Han
Wray L. Buntine
Ehsan Shareghi
LRM
22
0
0
15 Sep 2023
FIND: A Function Description Benchmark for Evaluating Interpretability
  Methods
FIND: A Function Description Benchmark for Evaluating Interpretability Methods
Sarah Schwettmann
Tamar Rott Shaham
Joanna Materzyñska
Neil Chowdhury
Shuang Li
Jacob Andreas
David Bau
Antonio Torralba
18
19
0
07 Sep 2023
S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical
  Learning
S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
Wei Suo
Mengyang Sun
Weisong Liu
Yi-Meng Gao
Peifeng Wang
Yanning Zhang
Qi Wu
LRM
38
7
0
05 Sep 2023
Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language
  Tasks
Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks
Fawaz Sammani
Nikos Deligiannis
13
5
0
17 Aug 2023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Yun Luo
Zhen Yang
Fandong Meng
Yafu Li
Jie Zhou
Yue Zhang
CLL
KELM
41
277
0
17 Aug 2023
Shepherd: A Critic for Language Model Generation
Shepherd: A Critic for Language Model Generation
Tianlu Wang
Ping Yu
Xiaoqing Ellen Tan
Sean O'Brien
Ramakanth Pasunuru
Jane Dwivedi-Yu
O. Yu. Golovneva
Luke Zettlemoyer
Maryam Fazel-Zarandi
Asli Celikyilmaz
ALM
42
79
0
08 Aug 2023
HAGRID: A Human-LLM Collaborative Dataset for Generative
  Information-Seeking with Attribution
HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution
Ehsan Kamalloo
A. Jafari
Xinyu Crystina Zhang
Nandan Thakur
Jimmy J. Lin
32
42
0
31 Jul 2023
Thrust: Adaptively Propels Large Language Models with External Knowledge
Thrust: Adaptively Propels Large Language Models with External Knowledge
Xinran Zhao
Hongming Zhang
Xiaoman Pan
Wenlin Yao
Dong Yu
Jianshu Chen
KELM
58
5
0
19 Jul 2023
Do Models Explain Themselves? Counterfactual Simulatability of Natural
  Language Explanations
Do Models Explain Themselves? Counterfactual Simulatability of Natural Language Explanations
Yanda Chen
Ruiqi Zhong
Narutatsu Ri
Chen Zhao
He He
Jacob Steinhardt
Zhou Yu
Kathleen McKeown
LRM
34
47
0
17 Jul 2023
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