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Inferring Which Medical Treatments Work from Reports of Clinical Trials
v1v2 (latest)

Inferring Which Medical Treatments Work from Reports of Clinical Trials

2 April 2019
Eric P. Lehman
Jay DeYoung
Regina Barzilay
Byron C. Wallace
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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&MAHILM
77
11
0
18 Feb 2024
InfoLossQA: Characterizing and Recovering Information Loss in Text
  Simplification
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
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
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
ALMELM
131
194
0
17 Nov 2023
CARE: Extracting Experimental Findings From Clinical Literature
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Re-Examining Human Annotations for Interpretable NLP
Cheng-Han Chiang
Hung-yi Lee
FAttXAI
87
6
0
10 Apr 2022
Predicting Intervention Approval in Clinical Trials through
  Multi-Document Summarization
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization
Georgios Katsimpras
George Giannakopoulos
113
5
0
01 Apr 2022
Generating Scientific Claims for Zero-Shot Scientific Fact Checking
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
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
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
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
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
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
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
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
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
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?
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
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
Diagnostics-Guided Explanation Generation
Pepa Atanasova
J. Simonsen
Christina Lioma
Isabelle Augenstein
LRMFAtt
77
6
0
08 Sep 2021
Enjoy the Salience: Towards Better Transformer-based Faithful
  Explanations with Word Salience
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
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
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
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
The Out-of-Distribution Problem in Explainability and Search Methods for Feature Importance Explanations
Peter Hase
Harry Xie
Joey Tianyi Zhou
OODDLRMFAtt
121
91
0
01 Jun 2021
Making Attention Mechanisms More Robust and Interpretable with Virtual
  Adversarial Training
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
Flexible Instance-Specific Rationalization of NLP Models
G. Chrysostomou
Nikolaos Aletras
82
14
0
16 Apr 2021
MS2: Multi-Document Summarization of Medical Studies
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
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
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
Explain and Predict, and then Predict Again
Zijian Zhang
Koustav Rudra
Avishek Anand
FAtt
92
51
0
11 Jan 2021
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