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WT5?! Training Text-to-Text Models to Explain their Predictions

WT5?! Training Text-to-Text Models to Explain their Predictions

30 April 2020
Sharan Narang
Colin Raffel
Katherine Lee
Adam Roberts
Noah Fiedel
Karishma Malkan
ArXivPDFHTML

Papers citing "WT5?! Training Text-to-Text Models to Explain their Predictions"

50 / 60 papers shown
Title
Pushing the boundary on Natural Language Inference
Pushing the boundary on Natural Language Inference
Pablo Miralles-González
Javier Huertas-Tato
Alejandro Martín
David Camacho
LRM
49
0
0
25 Apr 2025
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Policy-to-Language: Train LLMs to Explain Decisions with Flow-Matching Generated Rewards
Xinyi Yang
Liang Zeng
Heng Dong
Chao Yu
X. Wu
H. Yang
Yu Wang
Milind Tambe
Tonghan Wang
76
2
0
18 Feb 2025
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
Huaizhi Ge
Yiming Li
Qifan Wang
Yongfeng Zhang
Ruixiang Tang
AAML
SILM
86
0
0
19 Nov 2024
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with
  Explanatory Argumentative Structures
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures
Ekaterina Sviridova
Anar Yeginbergen
A. Estarrona
Elena Cabrio
S. Villata
Rodrigo Agerri
44
2
0
07 Oct 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
42
13
0
27 Jul 2024
CAVE: Controllable Authorship Verification Explanations
CAVE: Controllable Authorship Verification Explanations
Sahana Ramnath
Kartik Pandey
Elizabeth Boschee
Xiang Ren
61
2
0
24 Jun 2024
Okay, Let's Do This! Modeling Event Coreference with Generated
  Rationales and Knowledge Distillation
Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation
Abhijnan Nath
Shadi Manafi
Avyakta Chelle
Nikhil Krishnaswamy
40
1
0
04 Apr 2024
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
56
7
0
20 Dec 2023
Explainable Depression Symptom Detection in Social Media
Explainable Depression Symptom Detection in Social Media
Eliseo Bao Souto
Anxo Perez
Javier Parapar
32
5
0
20 Oct 2023
Interpretable Long-Form Legal Question Answering with
  Retrieval-Augmented Large Language Models
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
Antoine Louis
Gijs van Dijck
Gerasimos Spanakis
ELM
AILaw
30
35
0
29 Sep 2023
InfeRE: Step-by-Step Regex Generation via Chain of Inference
InfeRE: Step-by-Step Regex Generation via Chain of Inference
Shuai Zhang
Xiaodong Gu
Yuting Chen
Beijun Shen
21
5
0
08 Aug 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
Passive learning of active causal strategies in agents and language
  models
Passive learning of active causal strategies in agents and language models
Andrew Kyle Lampinen
Stephanie C. Y. Chan
Ishita Dasgupta
A. Nam
Jane X. Wang
29
15
0
25 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
MaNtLE: Model-agnostic Natural Language Explainer
MaNtLE: Model-agnostic Natural Language Explainer
Rakesh R Menon
Kerem Zaman
Shashank Srivastava
FAtt
LRM
24
2
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
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
Leveraging Large Language Models in Conversational Recommender Systems
Leveraging Large Language Models in Conversational Recommender Systems
Luke Friedman
Sameer Ahuja
David Allen
Zhenning Tan
Hakim Sidahmed
...
Ajay Patel
Harsh Lara
Brian Chu
Zexiang Chen
Manoj Kumar Tiwari
32
104
0
13 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
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
Second Thoughts are Best: Learning to Re-Align With Human Values from
  Text Edits
Second Thoughts are Best: Learning to Re-Align With Human Values from Text Edits
Ruibo Liu
Chenyan Jia
Ge Zhang
Ziyu Zhuang
Tony X. Liu
Soroush Vosoughi
99
35
0
01 Jan 2023
Robust and Explainable Identification of Logical Fallacies in Natural
  Language Arguments
Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments
Zhivar Sourati
Vishnu Priya Prasanna Venkatesh
D. Deshpande
Himanshu Rawlani
Filip Ilievski
Hông-Ân Sandlin
Alain Mermoud
AAML
31
20
0
12 Dec 2022
Effective Cross-Task Transfer Learning for Explainable Natural Language
  Inference with T5
Effective Cross-Task Transfer Learning for Explainable Natural Language Inference with T5
Irina Bigoulaeva
Rachneet Sachdeva
Harish Tayyar Madabushi
Aline Villavicencio
Iryna Gurevych
LRM
53
5
0
31 Oct 2022
Large Language Models Can Self-Improve
Large Language Models Can Self-Improve
Jiaxin Huang
S. Gu
Le Hou
Yuexin Wu
Xuezhi Wang
Hongkun Yu
Jiawei Han
ReLM
AI4MH
LRM
47
566
0
20 Oct 2022
Explanations from Large Language Models Make Small Reasoners Better
Explanations from Large Language Models Make Small Reasoners Better
Shiyang Li
Jianshu Chen
Yelong Shen
Zhiyu Zoey Chen
Xinlu Zhang
...
Jingu Qian
Baolin Peng
Yi Mao
Wenhu Chen
Xifeng Yan
ReLM
LRM
43
129
0
13 Oct 2022
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
Sebastian Hofstatter
Jiecao Chen
K. Raman
Hamed Zamani
RALM
65
77
0
28 Sep 2022
Learn to Explain: Multimodal Reasoning via Thought Chains for Science
  Question Answering
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
Ashwin Kalyan
ELM
ReLM
LRM
211
1,124
0
20 Sep 2022
INTERACTION: A Generative XAI Framework for Natural Language Inference
  Explanations
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
Jialin Yu
Alexandra I. Cristea
Anoushka Harit
Zhongtian Sun
O. Aduragba
Lei Shi
Noura Al Moubayed
34
10
0
02 Sep 2022
Negative Human Rights as a Basis for Long-term AI Safety and Regulation
Negative Human Rights as a Basis for Long-term AI Safety and Regulation
Ondrej Bajgar
Jan Horenovsky
FaML
24
9
0
31 Aug 2022
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text
  Rationales
FRAME: Evaluating Rationale-Label Consistency Metrics for Free-Text Rationales
Aaron Chan
Shaoliang Nie
Liang Tan
Xiaochang Peng
Hamed Firooz
Maziar Sanjabi
Xiang Ren
49
9
0
02 Jul 2022
Rationale-Augmented Ensembles in Language Models
Rationale-Augmented Ensembles in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Denny Zhou
ReLM
LRM
38
124
0
02 Jul 2022
Maieutic Prompting: Logically Consistent Reasoning with Recursive
  Explanations
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations
Jaehun Jung
Lianhui Qin
Sean Welleck
Faeze Brahman
Chandra Bhagavatula
Ronan Le Bras
Yejin Choi
ReLM
LRM
229
190
0
24 May 2022
On Advances in Text Generation from Images Beyond Captioning: A Case
  Study in Self-Rationalization
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization
Shruti Palaskar
Akshita Bhagia
Yonatan Bisk
Florian Metze
A. Black
Ana Marasović
31
4
0
24 May 2022
Can Rationalization Improve Robustness?
Can Rationalization Improve Robustness?
Howard Chen
Jacqueline He
Karthik R. Narasimhan
Danqi Chen
AAML
31
40
0
25 Apr 2022
Can language models learn from explanations in context?
Can language models learn from explanations in context?
Andrew Kyle Lampinen
Ishita Dasgupta
Stephanie C. Y. Chan
Kory Matthewson
Michael Henry Tessler
Antonia Creswell
James L. McClelland
Jane X. Wang
Felix Hill
LRM
ReLM
56
285
0
05 Apr 2022
Towards Explainable Evaluation Metrics for Natural Language Generation
Towards Explainable Evaluation Metrics for Natural Language Generation
Christoph Leiter
Piyawat Lertvittayakumjorn
M. Fomicheva
Wei-Ye Zhao
Yang Gao
Steffen Eger
AAML
ELM
30
20
0
21 Mar 2022
NLX-GPT: A Model for Natural Language Explanations in Vision and
  Vision-Language Tasks
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks
Fawaz Sammani
Tanmoy Mukherjee
Nikos Deligiannis
MILM
ELM
LRM
24
67
0
09 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
416
8,650
0
28 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior
Diagnosing AI Explanation Methods with Folk Concepts of Behavior
Alon Jacovi
Jasmijn Bastings
Sebastian Gehrmann
Yoav Goldberg
Katja Filippova
36
15
0
27 Jan 2022
UNIREX: A Unified Learning Framework for Language Model Rationale
  Extraction
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
Aaron Chan
Maziar Sanjabi
Lambert Mathias
L Tan
Shaoliang Nie
Xiaochang Peng
Xiang Ren
Hamed Firooz
41
41
0
16 Dec 2021
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Sarah Wiegreffe
Jack Hessel
Swabha Swayamdipta
Mark O. Riedl
Yejin Choi
21
143
0
16 Dec 2021
Few-Shot Out-of-Domain Transfer Learning of Natural Language
  Explanations in a Label-Abundant Setup
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup
Yordan Yordanov
Vid Kocijan
Thomas Lukasiewicz
Oana-Maria Camburu
33
18
0
12 Dec 2021
Few-Shot Self-Rationalization with Natural Language Prompts
Few-Shot Self-Rationalization with Natural Language Prompts
Ana Marasović
Iz Beltagy
Doug Downey
Matthew E. Peters
LRM
26
106
0
16 Nov 2021
Interpreting Deep Learning Models in Natural Language Processing: A
  Review
Interpreting Deep Learning Models in Natural Language Processing: A Review
Xiaofei Sun
Diyi Yang
Xiaoya Li
Tianwei Zhang
Yuxian Meng
Han Qiu
Guoyin Wang
Eduard H. Hovy
Jiwei Li
19
44
0
20 Oct 2021
Identifying and Mitigating Spurious Correlations for Improving
  Robustness in NLP Models
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models
Tianlu Wang
Rohit Sridhar
Diyi Yang
Xuezhi Wang
AAML
120
72
0
14 Oct 2021
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Weakly Supervised Explainable Phrasal Reasoning with Neural Fuzzy Logic
Zijun Wu
Zi Xuan Zhang
Atharva Naik
Zhijian Mei
Mauajama Firdaus
Lili Mou
LRM
NAI
44
14
0
18 Sep 2021
Does External Knowledge Help Explainable Natural Language Inference?
  Automatic Evaluation vs. Human Ratings
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings
Hendrik Schuff
Hsiu-yu Yang
Heike Adel
Ngoc Thang Vu
ELM
ReLM
LRM
46
13
0
16 Sep 2021
Are Training Resources Insufficient? Predict First Then Explain!
Are Training Resources Insufficient? Predict First Then Explain!
Myeongjun Jang
Thomas Lukasiewicz
LRM
21
7
0
29 Aug 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural
  Language Explanations
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
Bodhisattwa Prasad Majumder
Oana-Maria Camburu
Thomas Lukasiewicz
Julian McAuley
27
35
0
25 Jun 2021
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