Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1904.01606
Cited By
v1
v2 (latest)
Inferring Which Medical Treatments Work from Reports of Clinical Trials
2 April 2019
Eric P. Lehman
Jay DeYoung
Regina Barzilay
Byron C. Wallace
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Inferring Which Medical Treatments Work from Reports of Clinical Trials"
50 / 72 papers shown
Title
Enhancing Study-Level Inference from Clinical Trial Papers via RL-based Numeric Reasoning
Massimiliano Pronesti
Michela Lorandi
Paul Flanagan
Oisin Redmon
Anya Belz
Yufang Hou
47
0
0
28 May 2025
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation
Duc Hau Nguyen
Cyrielle Mallart
Guillaume Gravier
Pascale Sébillot
131
0
0
22 Jan 2025
MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries
Mohamed Elgaar
Jiali Cheng
Nidhi Vakil
Hadi Amiri
Leo Anthony Celi
63
2
0
23 Aug 2024
Using LLMs to label medical papers according to the CIViC evidence model
Markus Hisch
Xing David Wang
80
0
0
05 Jul 2024
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery
Linan Yue
Qi Liu
Yichao Du
Li Wang
Weibo Gao
Yanqing An
82
5
0
12 Mar 2024
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence
Sebastian Antony Joseph
Lily Chen
Jan Trienes
Hannah Louisa Göke
Monika Coers
Wei Xu
Byron C. Wallace
Junyi Jessy Li
LM&MA
HILM
77
11
0
18 Feb 2024
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification
Jan Trienes
Sebastian Antony Joseph
Jorg Schlotterer
Christin Seifert
Kyle Lo
Wei Xu
Byron C. Wallace
Junyi Jessy Li
125
7
0
29 Jan 2024
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks
Peter Hase
Mohit Bansal
Peter Clark
Sarah Wiegreffe
156
35
0
12 Jan 2024
Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2
Hamish Ivison
Yizhong Wang
Valentina Pyatkin
Nathan Lambert
Matthew E. Peters
...
Joel Jang
David Wadden
Noah A. Smith
Iz Beltagy
Hanna Hajishirzi
ALM
ELM
131
194
0
17 Nov 2023
CARE: Extracting Experimental Findings From Clinical Literature
Aakanksha Naik
Bailey Kuehl
Erin Bransom
Doug Downey
Tom Hope
99
4
0
16 Nov 2023
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization
Mohammad Reza Ghasemi Madani
Pasquale Minervini
91
4
0
22 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
61
0
0
20 Oct 2023
Goodhart's Law Applies to NLP's Explanation Benchmarks
Jennifer Hsia
Danish Pruthi
Aarti Singh
Zachary Chase Lipton
79
6
0
28 Aug 2023
MDACE: MIMIC Documents Annotated with Code Evidence
Hua Cheng
Rana Jafari
April Russell
Russell Klopfer
Edmond Lu
Benjamin Striner
Matthew R. Gormley
70
9
0
07 Jul 2023
CREST: A Joint Framework for Rationalization and Counterfactual Text Generation
Marcos Vinícius Treviso
Alexis Ross
Nuno M. Guerreiro
André F.T. Martins
100
17
0
26 May 2023
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations
Lucy Lu Wang
Yulia Otmakhova
Jay DeYoung
Thinh Hung Truong
Bailey Kuehl
Erin Bransom
Byron C. Wallace
169
22
0
23 May 2023
Incorporating Attribution Importance for Improving Faithfulness Metrics
Zhixue Zhao
Nikolaos Aletras
111
13
0
17 May 2023
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs
Somin Wadhwa
Jay DeYoung
Benjamin E. Nye
Silvio Amir
Byron C. Wallace
76
15
0
05 May 2023
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges
S. Ramprasad
Denis Jered McInerney
Iain J. Marshal
Byron C. Wallace
73
11
0
07 Mar 2023
ExClaim: Explainable Neural Claim Verification Using Rationalization
Sai Gurrapu
Lifu Huang
Feras A. Batarseh
AAML
94
9
0
21 Jan 2023
CCS Explorer: Relevance Prediction, Extractive Summarization, and Named Entity Recognition from Clinical Cohort Studies
Irfan Al-Hussaini
D. An
Albert Lee
Sarah Bi
Cassie S. Mitchell
83
8
0
01 Nov 2022
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media
Somin Wadhwa
Vivek Khetan
Silvio Amir
Byron C. Wallace
68
19
0
12 Oct 2022
Artificial Intelligence for In Silico Clinical Trials: A Review
Zifeng Wang
Chufan Gao
Lucas Glass
Jimeng Sun
84
12
0
16 Sep 2022
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
104
22
0
23 May 2022
Re-Examining Human Annotations for Interpretable NLP
Cheng-Han Chiang
Hung-yi Lee
FAtt
XAI
87
6
0
10 Apr 2022
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization
Georgios Katsimpras
George Giannakopoulos
115
5
0
01 Apr 2022
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
Dustin Wright
David Wadden
Kyle Lo
Bailey Kuehl
Arman Cohan
Isabelle Augenstein
Lucy Lu Wang
MedIm
123
58
0
24 Mar 2022
Distinguishing Transformative from Incremental Clinical Evidence: A Classifier of Clinical Research using Textual features from Abstracts and Citing Sentences
Xuanyu Shi
Jian Du
CLL
31
1
0
24 Dec 2021
Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction
Dongfang Li
Baotian Hu
Qingcai Chen
Tujie Xu
Jingcong Tao
Yunan Zhang
75
12
0
20 Dec 2021
MultiVerS: Improving scientific claim verification with weak supervision and full-document context
David Wadden
Bertie Vidgen
Lucy Lu Wang
Dirk Hovy
J. Pierrehumbert
Hannaneh Hajishirzi
114
164
0
02 Dec 2021
What to Learn, and How: Toward Effective Learning from Rationales
Samuel Carton
Surya Kanoria
Chenhao Tan
128
25
0
30 Nov 2021
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction
Kosuke Nishida
Kyosuke Nishida
Itsumi Saito
Sen Yoshida
69
7
0
17 Nov 2021
Literature-Augmented Clinical Outcome Prediction
Aakanksha Naik
Sravanthi Parasa
Sergey Feldman
Lucy Lu Wang
Tom Hope
LM&MA
113
26
0
16 Nov 2021
Rationale production to support clinical decision-making
Niall Taylor
Lei Sha
Dan W Joyce
Thomas Lukasiewicz
A. Nevado-Holgado
Andrey Kormilitzin
FAtt
61
5
0
15 Nov 2021
Understanding Interlocking Dynamics of Cooperative Rationalization
Mo Yu
Yang Zhang
Shiyu Chang
Tommi Jaakkola
92
44
0
26 Oct 2021
Practical Benefits of Feature Feedback Under Distribution Shift
Anurag Katakkar
Clay H. Yoo
Weiqin Wang
Zachary Chase Lipton
Divyansh Kaushik
75
5
0
14 Oct 2021
What Would it Take to get Biomedical QA Systems into Practice?
Gregory Kell
Iain J. Marshall
Byron C. Wallace
A. Jaun
86
10
0
21 Sep 2021
Self-training with Few-shot Rationalization: Teacher Explanations Aid Student in Few-shot NLU
Meghana Moorthy Bhat
Alessandro Sordoni
Subhabrata Mukherjee
LRM
58
24
0
17 Sep 2021
Diagnostics-Guided Explanation Generation
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
LRM
FAtt
77
6
0
08 Sep 2021
Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience
G. Chrysostomou
Nikolaos Aletras
74
18
0
31 Aug 2021
Your fairness may vary: Pretrained language model fairness in toxic text classification
Ioana Baldini
Dennis L. Wei
Karthikeyan N. Ramamurthy
Mikhail Yurochkin
Moninder Singh
93
54
0
03 Aug 2021
On the Diversity and Limits of Human Explanations
Chenhao Tan
95
33
0
22 Jun 2021
An Information Retrieval Approach to Building Datasets for Hate Speech Detection
Md. Mustafizur Rahman
Dinesh Balakrishnan
Dhiraj Murthy
Mucahid Kutlu
Matthew Lease
69
24
0
17 Jun 2021
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations
Peter Hase
Harry Xie
Joey Tianyi Zhou
OODD
LRM
FAtt
121
91
0
01 Jun 2021
Making Attention Mechanisms More Robust and Interpretable with Virtual Adversarial Training
Shunsuke Kitada
Hitoshi Iyatomi
AAML
97
8
0
18 Apr 2021
Flexible Instance-Specific Rationalization of NLP Models
G. Chrysostomou
Nikolaos Aletras
82
14
0
16 Apr 2021
MS2: Multi-Document Summarization of Medical Studies
Jay DeYoung
Iz Beltagy
Madeleine van Zuylen
Bailey Kuehl
Lucy Lu Wang
91
113
0
13 Apr 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing
Sarah Wiegreffe
Ana Marasović
XAI
93
146
0
24 Feb 2021
PAWLS: PDF Annotation With Labels and Structure
Mark Neumann
Zejiang Shen
Sam Skjonsberg
82
20
0
25 Jan 2021
Explain and Predict, and then Predict Again
Zijian Zhang
Koustav Rudra
Avishek Anand
FAtt
92
51
0
11 Jan 2021
1
2
Next