Byron C. Wallace

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 167

Top Venues

Publications

Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. CoRR (2024)
Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. CoRR (2024)
Denis Jered McInerney, William Dickinson, Lucy Flynn, Andrea Young, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. CoRR (2024)
Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall
Question answering systems for health professionals at the point of care - a systematic review. CoRR (2024)
Sebastian Antony Joseph, Lily Chen, Jan Trienes, Hannah Louisa Göke, Monika Coers, Wei Xu, Byron C. Wallace, Junyi Jessy Li
FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence. CoRR (2024)
Gongbo Zhang, Qiao Jin, Denis Jered McInerney, Yong Chen, Fei Wang, Curtis L. Cole, Qian Yang, Yanshan Wang, Bradley A. Malin, Mor Peleg, Byron C. Wallace, Zhiyong Lu, Chunhua Weng, Yifan Peng
Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. CoRR (2023)
Hye Yun, Iain James Marshall, Thomas A. Trikalinos, Byron C. Wallace
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. EMNLP (2023)
Somin Wadhwa, Silvio Amir, Byron C. Wallace
Revisiting Relation Extraction in the era of Large Language Models. ACL (1) (2023)
Hiba Ahsan, Denis Jered McInerney, Jisoo Kim, Christopher Potter, Geoffrey Young, Silvio Amir, Byron C. Wallace
Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges. CoRR (2023)
Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey Kuehl, Erin Bransom, Byron C. Wallace
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations. ACL (1) (2023)
Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey E. Kuehl, Erin Bransom, Byron C. Wallace
Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations. CoRR (2023)
Sebastian Joseph, Kathryn Kazanas, Keziah Reina, Vishnesh J. Ramanathan, Wei Xu, Byron C. Wallace, Junyi Li
Multilingual Simplification of Medical Texts. EMNLP (2023)
Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau
Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. CoRR (2023)
Stefan Olafsson, Paola Pedrelli, Byron C. Wallace, Timothy W. Bickmore
Accomodating User Expressivity while Maintaining Safety for a Virtual Alcohol Misuse Counselor. IVA (2023)
Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau
Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. CoNLL (2023)
Junru Lu, Jiazheng Li, Byron C. Wallace, Yulan He, Gabriele Pergola
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization. EACL (Findings) (2023)
Jinghan Yang, Sarthak Jain, Byron C. Wallace
How Many and Which Training Points Would Need to be Removed to Flip this Prediction? EACL (2023)
Jinghan Yang, Sarthak Jain, Byron C. Wallace
How Many and Which Training Points Would Need to be Removed to Flip this Prediction? CoRR (2023)
Hye Sun Yun, Iain James Marshall, Thomas A. Trikalinos, Byron C. Wallace
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. CoRR (2023)
Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
USB: A Unified Summarization Benchmark Across Tasks and Domains. EMNLP (Findings) (2023)
Junru Lu, Jiazheng Li, Byron C. Wallace, Yulan He, Gabriele Pergola
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization. CoRR (2023)
Sanjana Ramprasad, Denis Jered McInerney, Iain James Marshall, Byron C. Wallace
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges. EACL (System Demonstrations) (2023)
Vivek Khetan, Somin Wadhwa, Byron C. Wallace, Silvio Amir
SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts. SemEval@ACL (2023)
Jiuding Sun, Chantal Shaib, Byron C. Wallace
Evaluating the Zero-shot Robustness of Instruction-tuned Language Models. CoRR (2023)
Sebastian Joseph, Kathryn Kazanas, Keziah Reina, Vishnesh J. Ramanathan, Wei Xu, Byron C. Wallace, Junyi Jessy Li
Multilingual Simplification of Medical Texts. CoRR (2023)
Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. EACL (Findings) (2023)
Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau
Function Vectors in Large Language Models. CoRR (2023)
Chantal Shaib, Millicent L. Li, Sebastian Joseph, Iain James Marshall, Junyi Jessy Li, Byron C. Wallace
Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success). CoRR (2023)
Chantal Shaib, Millicent L. Li, Sebastian Joseph, Iain James Marshall, Junyi Jessy Li, Byron C. Wallace
Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success). ACL (2) (2023)
Somin Wadhwa, Silvio Amir, Byron C. Wallace
Revisiting Relation Extraction in the era of Large Language Models. CoRR (2023)
Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models. EMNLP (Findings) (2023)
Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models. CoRR (2023)
Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
USB: A Unified Summarization Benchmark Across Tasks and Domains. CoRR (2023)
Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. MLHC (2023)
Sanjana Ramprasad, Denis Jered McInerney, Iain J. Marshal, Byron C. Wallace
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges. CoRR (2023)
Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace
Do Multi-Document Summarization Models Synthesize? CoRR (2023)
Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. CoRR (2023)
Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova
Influence Functions for Sequence Tagging Models. EMNLP (Findings) (2022)
Lucy Lu Wang, Jay DeYoung, Byron C. Wallace
Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews. SDP@COLING (2022)
Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
Intermediate Entity-based Sparse Interpretable Representation Learning. CoRR (2022)
Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova
Influence Functions for Sequence Tagging Models. CoRR (2022)
Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto, Richard Raymund R. Ragasa, Corinna Victoria M. Puyat, Isabelle Rose I. Alberto, Pia Gabrielle I. Alfonso, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits
Learning to Ask Like a Physician. CoRR (2022)
Denis Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. CoRR (2022)
Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace
Combining Feature and Instance Attribution to Detect Artifacts. ACL (Findings) (2022)
Ashwin Devaraj, William Sheffield, Byron C. Wallace, Junyi Jessy Li
Evaluating Factuality in Text Simplification. ACL (1) (2022)
Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
Intermediate Entity-based Sparse Interpretable Representation Learning. BlackboxNLP@EMNLP (2022)
Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron C. Wallace, Bino John, Nigel Greene, Joseph Kim, Yulan He
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. CoRR (2022)
Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron C. Wallace, Bino John, Nigel Greene, Joseph Kim, Yulan He
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. EMNLP (2022)
Nikita Salkar, Thomas A. Trikalinos, Byron C. Wallace, Ani Nenkova
Self-Repetition in Abstractive Neural Summarizers. AACL/IJCNLP (2) (2022)
Nikita Salkar, Thomas A. Trikalinos, Byron C. Wallace, Ani Nenkova
Self-Repetition in Abstractive Neural Summarizers. CoRR (2022)
Jered Jered McInerney, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. EMNLP (2022)
Ashwin Devaraj, William Sheffield, Byron C. Wallace, Junyi Jessy Li
Evaluating Factuality in Text Simplification. CoRR (2022)
Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. CoRR (2022)
Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. Comput. Linguistics 47 (1) (2021)
Ashwin Devaraj, Iain James Marshall, Byron C. Wallace, Junyi Jessy Li
Paragraph-level Simplification of Medical Texts. CoRR (2021)
Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? CoRR (2021)
Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh
An Empirical Comparison of Instance Attribution Methods for NLP. NAACL-HLT (2021)
Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh
An Empirical Comparison of Instance Attribution Methods for NLP. CoRR (2021)
Ashwin Devaraj, Iain James Marshall, Byron C. Wallace, Junyi Jessy Li
Paragraph-level Simplification of Medical Texts. NAACL-HLT (2021)
Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
Biomedical Interpretable Entity Representations. CoRR (2021)
Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) (2021)
Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? NAACL-HLT (2021)
Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace
Disentangling Representations of Text by Masking Transformers. EMNLP (1) (2021)
Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace
On the Impact of Random Seeds on the Fairness of Clinical Classifiers. CoRR (2021)
Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace
On the Impact of Random Seeds on the Fairness of Clinical Classifiers. NAACL-HLT (2021)
Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace
Disentangling Representations of Text by Masking Transformers. CoRR (2021)
Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace
Combining Feature and Instance Attribution to Detect Artifacts. CoRR (2021)
Denis Jered McInerney, Luyang Kong, Kristjan Arumae, Byron C. Wallace, Parminder Bhatia
Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking. CoRR (2021)
David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data. EMNLP (1) (2021)
Gregory Kell, Iain James Marshall, Byron C. Wallace, André Jaun
What Would it Take to get Biomedical QA Systems into Practice? CoRR (2021)
Benjamin E. Nye, Ani Nenkova, Iain James Marshall, Byron C. Wallace
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. CoRR (2020)
Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace
ERASER: A Benchmark to Evaluate Rationalized NLP Models. ACL (2020)
Iain James Marshall, Benjamin E. Nye, Joël Kuiper, Anna Noel-Storr, Rachel Marshall, Rory Maclean, Frank Soboczenski, Ani Nenkova, James Thomas, Byron C. Wallace
Trialstreamer: A living, automatically updated database of clinical trial reports. J. Am. Medical Informatics Assoc. 27 (12) (2020)
Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
Query-Focused EHR Summarization to Aid Imaging Diagnosis. CoRR (2020)
Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. ACL (2020)
Eric Wonhee Lee, Byron C. Wallace, Karla I. Galaviz, Joyce C. Ho
MMiDaS-AE: multi-modal missing data aware stacked autoencoder for biomedical abstract screening. CHIL (2020)
Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace
Query-Focused EHR Summarization to Aid Imaging Diagnosis. MLHC (2020)
Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace
Learning to Faithfully Rationalize by Construction. CoRR (2020)
Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron C. Wallace
Semi-Automating Knowledge Base Construction for Cancer Genetics. CoRR (2020)
Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace
Evidence Inference 2.0: More Data, Better Models. BioNLP (2020)
Stefan Olafsson, Byron C. Wallace, Timothy W. Bickmore
Towards a Computational Framework for Automating Substance Use Counseling with Virtual Agents. AAMAS (2020)
Benjamin E. Nye, Ani Nenkova, Iain James Marshall, Byron C. Wallace
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. ACL (demo) (2020)
Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models. CoRR (2020)
Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace
Evidence Inference 2.0: More Data, Better Models. CoRR (2020)
Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace
Learning to Faithfully Rationalize by Construction. ACL (2020)
Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. CoRR (2020)
Byron C. Wallace, Sayantan Saha, Frank Soboczenski, Iain James Marshall
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization. CoRR (2020)
David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data. CoRR (2020)
Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron C. Wallace
Semi-Automating Knowledge Base Construction for Cancer Genetics. AKBC (2020)
Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. CoRR (2020)
Benjamin E. Nye, Jay DeYoung, Eric Lehman, Ani Nenkova, Iain James Marshall, Byron C. Wallace
Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations. CoRR (2020)
An T. Nguyen, Matthew Lease, Byron C. Wallace
Explainable modeling of annotations in crowdsourcing. IUI (2019)
Byron C. Wallace
What Does the Evidence Say? Models to Help Make Sense of the Biomedical Literature. IJCAI (2019)
Ramin Mohammadi, Sarthak Jain, Stephen Agboola, Ramya Palacholla, Sagar V. Kamarthi, Byron C. Wallace
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data. CoRR (2019)
Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, Ani Nenkova
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction. CoRR (2019)
David Lowell, Zachary C. Lipton, Byron C. Wallace
Practical Obstacles to Deploying Active Learning. EMNLP/IJCNLP (1) (2019)
Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace
Inferring Which Medical Treatments Work from Reports of Clinical Trials. NAACL-HLT (1) (2019)
Frank Soboczenski, Thomas A. Trikalinos, Joël Kuiper, Randolph G. Bias, Byron C. Wallace, Iain James Marshall
Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, Ani Nenkova
Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction. NAACL-HLT (1) (2019)
Sarthak Jain, Byron C. Wallace
Attention is not Explanation. NAACL-HLT (1) (2019)

Byron C. Wallace.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Byron C. Wallace