Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2004.14546
Cited By
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"WT5?! Training Text-to-Text Models to Explain their Predictions"
50 / 145 papers shown
Zero-Reference Joint Low-Light Enhancement and Deblurring via Visual Autoregressive Modeling with VLM-Derived Modulation
Wei Dong
Han Zhou
J. Lin
Jun Chen
163
2
0
23 Nov 2025
Towards Transparent AI: A Survey on Explainable Language Models
Avash Palikhe
Sribala Vidyadhari Chinta
Zhipeng Yin
Rui Guo
Qiang Duan
Jie Yang
Wenbin Zhang
281
3
0
25 Sep 2025
Adversarial Attacks on VQA-NLE: Exposing and Alleviating Inconsistencies in Visual Question Answering Explanations
Yahsin Yeh
Yilun Wu
Bokai Ruan
Honghan Shuai
AAML
131
1
0
17 Aug 2025
Aligning What LLMs Do and Say: Towards Self-Consistent Explanations
Sahar Admoni
Ofra Amir
Assaf Hallak
Yftah Ziser
LRM
230
2
0
09 Jun 2025
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
Lingjun Zhao
Hal Daumé III
490
3
0
25 May 2025
Pushing the boundary on Natural Language Inference
Pablo Miralles-González
Javier Huertas-Tato
Alejandro Martín
David Camacho
LRM
643
1
0
25 Apr 2025
ChartQA-X: Generating Explanations for Visual Chart Reasoning
Shamanthak Hegde
Pooyan Fazli
H. Seifi
456
0
0
17 Apr 2025
CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization
Brihi Joshi
Sriram Venkatapathy
Mohit Bansal
Nanyun Peng
Haw-Shiuan Chang
LRM
363
0
0
21 Mar 2025
Corrections Meet Explanations: A Unified Framework for Explainable Grammatical Error Correction
Jingheng Ye
Shang Qin
Hai-Tao Zheng
Hai-Tao Zheng
Shen Wang
Qingsong Wen
383
4
0
24 Feb 2025
Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations
Xinyi Yang
Liang Zeng
Heng Dong
Chao Yu
Xiaojun Wu
H. Yang
Yu Wang
Milind Tambe
Tonghan Wang
441
7
0
18 Feb 2025
Can Input Attributions Explain Inductive Reasoning in In-Context Learning?
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Mengyu Ye
Tatsuki Kuribayashi
Goro Kobayashi
Jun Suzuki
LRM
587
0
0
20 Dec 2024
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Huaizhi Ge
Yiming Li
Qifan Wang
Yongfeng Zhang
Ruixiang Tang
AAML
SILM
567
13
0
19 Nov 2024
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Maxime Kayser
Bayar I. Menzat
Cornelius Emde
Bogdan Bercean
Alex Novak
Abdala Espinosa
B. Papież
Susanne Gaube
Thomas Lukasiewicz
Oana-Maria Camburu
486
11
0
16 Oct 2024
CasiMedicos-Arg: A Medical Question Answering Dataset Annotated with Explanatory Argumentative Structures
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Ekaterina Sviridova
Anar Yeginbergen
A. Estarrona
Elena Cabrio
S. Villata
Rodrigo Agerri
321
10
0
07 Oct 2024
Enhancing SLM via ChatGPT and Dataset Augmentation
Tom Pieper
Mohamad Ballout
U. Krumnack
Gunther Heidemann
Kai-Uwe Kühnberger
275
0
0
19 Sep 2024
ExDDI: Explaining Drug-Drug Interaction Predictions with Natural Language
AAAI Conference on Artificial Intelligence (AAAI), 2024
ZHAOYUE SUN
Jiazheng Li
Gabriele Pergola
Yulan He
208
4
0
09 Sep 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs
Nitay Calderon
Roi Reichart
402
32
0
27 Jul 2024
Multilingual Fine-Grained News Headline Hallucination Detection
Jiaming Shen
Tianqi Liu
Jialu Liu
Zhen Qin
Jay Pavagadhi
Simon Baumgartner
Michael Bendersky
239
0
0
22 Jul 2024
Data-Centric Human Preference with Rationales for Direct Preference Alignment
H. Just
Ming Jin
Anit Kumar Sahu
Huy Phan
Ruoxi Jia
574
3
0
19 Jul 2024
A Survey on Symbolic Knowledge Distillation of Large Language Models
Kamal Acharya
Alvaro Velasquez
Haoze Song
SyDa
352
31
0
12 Jul 2024
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
Daniel Sonntag
Michael Barz
Thiago S. Gouvêa
VLM
338
6
0
27 Jun 2024
CAVE: Controllable Authorship Verification Explanations
Sahana Ramnath
Kartik Pandey
Elizabeth Boschee
Xiang Ren
446
3
0
24 Jun 2024
Scenarios and Approaches for Situated Natural Language Explanations
Pengshuo Qiu
Frank Rudzicz
Zining Zhu
LRM
402
1
0
07 Jun 2024
Beyond Metrics: Evaluating LLMs' Effectiveness in Culturally Nuanced, Low-Resource Real-World Scenarios
Millicent Ochieng
Varun Gumma
Sunayana Sitaram
Jindong Wang
Vishrav Chaudhary
K. Ronen
Kalika Bali
Jacki OÑeill
377
9
0
01 Jun 2024
Can only LLMs do Reasoning?: Potential of Small Language Models in Task Planning
Gawon Choi
Hyemin Ahn
LM&Ro
LRM
167
2
0
05 Apr 2024
Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge Distillation
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
Abhijnan Nath
Shadi Manafi
Avyakta Chelle
Nikhil Krishnaswamy
265
5
0
04 Apr 2024
Towards a Framework for Evaluating Explanations in Automated Fact Verification
Neema Kotonya
Francesca Toni
327
9
0
29 Mar 2024
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering
Baiyan Zhang
Qin Chen
Jie Zhou
Jian Jin
Liang He
185
6
0
17 Mar 2024
ELAD: Explanation-Guided Large Language Models Active Distillation
Yifei Zhang
Bo Pan
Chen Ling
Yuntong Hu
Bo Pan
326
13
0
20 Feb 2024
How Interpretable are Reasoning Explanations from Prompting Large Language Models?
Yeo Wei Jie
Frank Xing
Rick Mong
Xiaoshi Zhong
ReLM
LRM
427
44
0
19 Feb 2024
Properties and Challenges of LLM-Generated Explanations
Jenny Kunz
Marco Kuhlmann
352
34
0
16 Feb 2024
Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models
Asian Conference on Machine Learning (ACML), 2024
Mohamad Ballout
U. Krumnack
Gunther Heidemann
Kai-Uwe Kuehnberger
LRM
428
5
0
12 Feb 2024
The Matrix: A Bayesian learning model for LLMs
Siddhartha Dalal
Vishal Misra
178
1
0
05 Feb 2024
Towards Generating Informative Textual Description for Neurons in Language Models
Shrayani Mondal
Rishabh Garodia
Arbaaz Qureshi
Taesung Lee
Youngja Park
MILM
200
1
0
30 Jan 2024
ALMANACS: A Simulatability Benchmark for Language Model Explainability
Edmund Mills
Shiye Su
Stuart J. Russell
Scott Emmons
618
9
0
20 Dec 2023
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception
Chaitanya Malaviya
Subin Lee
Dan Roth
Mark Yatskar
335
3
0
16 Nov 2023
Using Natural Language Explanations to Improve Robustness of In-context Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Xuanli He
Yuxiang Wu
Oana-Maria Camburu
Pasquale Minervini
Pontus Stenetorp
AAML
324
1
0
13 Nov 2023
On Measuring Faithfulness or Self-consistency of Natural Language Explanations
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Letitia Parcalabescu
Anette Frank
LRM
419
68
0
13 Nov 2023
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Yue Yu
Jiaming Shen
Tianqi Liu
Zhen Qin
Jing Nathan Yan
Jialu Liu
Chao Zhang
Michael Bendersky
305
10
0
13 Nov 2023
Characterizing Large Language Models as Rationalizers of Knowledge-intensive Tasks
Aditi Mishra
Sajjadur Rahman
H. Kim
Kushan Mitra
Estevam R. Hruschka
424
12
0
09 Nov 2023
Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ruosen Li
Xinya Du
LRM
271
32
0
07 Nov 2023
What Makes it Ok to Set a Fire? Iterative Self-distillation of Contexts and Rationales for Disambiguating Defeasible Social and Moral Situations
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kavel Rao
Liwei Jiang
Valentina Pyatkin
Yuling Gu
Niket Tandon
Nouha Dziri
Faeze Brahman
Yejin Choi
260
23
0
24 Oct 2023
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization
Conference on Computational Natural Language Learning (CoNLL), 2023
Mohammad Reza Ghasemi Madani
Pasquale Minervini
312
5
0
22 Oct 2023
Explainable Depression Symptom Detection in Social Media
Eliseo Bao Souto
Anxo Perez
Javier Parapar
342
28
0
20 Oct 2023
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making
Yanrui Du
Sendong Zhao
Hao Wang
Yuhan Chen
Rui Bai
Zewen Qiang
Muzhen Cai
Bing Qin
205
1
0
20 Oct 2023
Visual Attention Prompted Prediction and Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Yifei Zhang
Siyi Gu
Bo Pan
Guangji Bai
Meikang Qiu
Xiaofeng Yang
Bo Pan
LRM
VLM
403
13
0
12 Oct 2023
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
North American Chapter of the Association for Computational Linguistics (NAACL), 2023
Yun Luo
Zhen Yang
Fandong Meng
Yingjie Li
Fang Guo
Qinglin Qi
Jie Zhou
Yue Zhang
408
2
0
09 Oct 2023
Interpretable Long-Form Legal Question Answering with Retrieval-Augmented Large Language Models
AAAI Conference on Artificial Intelligence (AAAI), 2023
Antoine Louis
Gijs van Dijck
Gerasimos Spanakis
ELM
AILaw
283
88
0
29 Sep 2023
S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
Computer Vision and Pattern Recognition (CVPR), 2023
Wei Suo
Mengyang Sun
Weisong Liu
Yi-Meng Gao
Peifeng Wang
Yanning Zhang
Qi Wu
LRM
269
14
0
05 Sep 2023
Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks
Fawaz Sammani
Nikos Deligiannis
282
9
0
17 Aug 2023
1
2
3
Next
Page 1 of 3
