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ORCIDByron C. Wallace
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- affiliation: Northeastern University, Boston, MA, USA
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2020 – today
- 2024
[j20]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. J. Am. Medical Informatics Assoc. 31(4): 1009-1024 (2024)- [j19]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 synthesis needs to ensure trustworthiness. J. Biomed. Informatics 153: 104640 (2024) - [c109]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. ACL (1) 2024: 4263-4294 - [c108]Sebastian 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. ACL (1) 2024: 8437-8464 - [c107]Alberto Mario Ceballos-Arroyo, Monica Munnangi, Jiuding Sun, Karen Y. C. Zhang, Denis Jered McInerney, Byron C. Wallace, Silvio Amir:
Open (Clinical) LLMs are Sensitive to Instruction Phrasings. BioNLP@ACL 2024: 50-71 - [c106]Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace:
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. EACL (2) 2024: 50-59 - [c105]Zhaoyue Sun, Gabriele Pergola, Byron C. Wallace, Yulan He:
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study. EACL (2) 2024: 344-357 - [c104]Jiuding Sun, Chantal Shaib, Byron C. Wallace:
Evaluating the Zero-shot Robustness of Instruction-tuned Language Models. ICLR 2024 - [c103]Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau:
Function Vectors in Large Language Models. ICLR 2024 - [c102]Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik:
On-the-fly Definition Augmentation of LLMs for Biomedical NER. NAACL-HLT 2024: 3833-3854 - [c101]Denis Jered McInerney, William Dickinson, Lucy C. Flynn, Andrea Young, Geoffrey Young, Jan-Willem van de Meent, Byron C. Wallace:
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. NAACL-HLT 2024: 7193-7210 - [i85]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 abs/2401.16475 (2024) - [i84]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 abs/2402.01700 (2024) - [i83]Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace:
Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. CoRR abs/2402.03509 (2024) - [i82]Denis Jered McInerney, William Dickinson, Lucy C. Flynn, Andrea Young, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace:
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. CoRR abs/2402.10109 (2024) - [i81]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 abs/2402.11456 (2024) - [i80]Kundan Krishna, Sanjana Ramprasad, Prakhar Gupta, Byron C. Wallace, Zachary C. Lipton, Jeffrey P. Bigham:
GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence. CoRR abs/2402.12566 (2024) - [i79]Zhaoyue Sun, Gabriele Pergola, Byron C. Wallace, Yulan He:
Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study. CoRR abs/2402.15663 (2024) - [i78]Chantal Shaib, Joe Barrow, Alexa F. Siu, Byron C. Wallace, Ani Nenkova:
How Much Annotation is Needed to Compare Summarization Models? CoRR abs/2402.18756 (2024) - [i77]Chantal Shaib, Joe Barrow, Jiuding Sun, Alexa F. Siu, Byron C. Wallace, Ani Nenkova:
Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores. CoRR abs/2403.00553 (2024) - [i76]Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik:
On-the-fly Definition Augmentation of LLMs for Biomedical NER. CoRR abs/2404.00152 (2024) - [i75]Hye Sun Yun, David Pogrebitskiy, Iain James Marshall, Byron C. Wallace:
Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models. CoRR abs/2405.01686 (2024) - [i74]Somin Wadhwa, Adit Krishnan, Runhui Wang, Byron C. Wallace, Chris Kong:
Learning from Natural Language Explanations for Generalizable Entity Matching. CoRR abs/2406.09330 (2024) - [i73]Somin Wadhwa, Silvio Amir, Byron C. Wallace:
Investigating Mysteries of CoT-Augmented Distillation. CoRR abs/2406.14511 (2024) - [i72]Sheridan Feucht, David Atkinson, Byron C. Wallace, David Bau:
Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs. CoRR abs/2406.20086 (2024) - [i71]Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C. Wallace:
Detection and Measurement of Syntactic Templates in Generated Text. CoRR abs/2407.00211 (2024) - [i70]Alberto Mario Ceballos-Arroyo, Monica Munnangi, Jiuding Sun, Karen Y. C. Zhang, Denis Jered McInerney, Byron C. Wallace, Silvio Amir:
Open (Clinical) LLMs are Sensitive to Instruction Phrasings. CoRR abs/2407.09429 (2024) - [i69]Jaden Fiotto-Kaufman, Alexander R. Loftus, Eric Todd, Jannik Brinkmann, Caden Juang, Koyena Pal, Can Rager, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Michael Ripa, Adam Belfki, Nikhil Prakash, Sumeet Multani, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau:
NNsight and NDIF: Democratizing Access to Foundation Model Internals. CoRR abs/2407.14561 (2024) - 2023
- [c100]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: 1387-1407 - [c99]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: 9871-9889 - [c98]Somin Wadhwa, Silvio Amir, Byron C. Wallace:
Revisiting Relation Extraction in the era of Large Language Models. ACL (1) 2023: 15566-15589 - [c97]Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau:
Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. CoNLL 2023: 548-560 - [c96]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: 236-247 - [c95]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: 797 - [c94]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: 1049-1061 - [c93]Jinghan Yang, Sarthak Jain, Byron C. Wallace:
How Many and Which Training Points Would Need to be Removed to Flip this Prediction? EACL 2023: 2563-2576 - [c92]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: 8477-8494 - [c91]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: 8826-8845 - [c90]Hye Sun Yun, Iain James Marshall, Thomas A. Trikalinos, Byron C. Wallace:
Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. EMNLP 2023: 10122-10139 - [c89]Sebastian Joseph, Kathryn Kazanas, Keziah Reina, Vishnesh J. Ramanathan, Wei Xu, Byron C. Wallace, Junyi Jessy Li:
Multilingual Simplification of Medical Texts. EMNLP 2023: 16662-16692 - [c88]Stefan Olafsson, Paola Pedrelli, Byron C. Wallace, Timothy W. Bickmore:
Accomodating User Expressivity while Maintaining Safety for a Virtual Alcohol Misuse Counselor. IVA 2023: 3:1-3:9 - [c87]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: 754-771 - [c86]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: 2266-2274 - [i68]Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace:
Do Multi-Document Summarization Models Synthesize? CoRR abs/2301.13844 (2023) - [i67]Jinghan Yang, Sarthak Jain, Byron C. Wallace:
How Many and Which Training Points Would Need to be Removed to Flip this Prediction? CoRR abs/2302.02169 (2023) - [i66]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 abs/2302.05574 (2023) - [i65]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 abs/2302.12343 (2023) - [i64]Sanjana Ramprasad, Denis Jered McInerney, Iain James Marshall, Byron C. Wallace:
Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges. CoRR abs/2303.05392 (2023) - [i63]Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace:
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. CoRR abs/2305.03642 (2023) - [i62]Somin Wadhwa, Silvio Amir, Byron C. Wallace:
Revisiting Relation Extraction in the era of Large Language Models. CoRR abs/2305.05003 (2023) - [i61]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 abs/2305.06299 (2023) - [i60]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 abs/2305.11828 (2023) - [i59]Sebastian Joseph, Kathryn Kazanas, Keziah Reina, Vishnesh J. Ramanathan, Wei Xu, Byron C. Wallace, Junyi Jessy Li:
Multilingual Simplification of Medical Texts. CoRR abs/2305.12532 (2023) - [i58]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 abs/2305.13693 (2023) - [i57]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 abs/2305.14296 (2023) - [i56]Jiuding Sun, Chantal Shaib, Byron C. Wallace:
Evaluating the Zero-shot Robustness of Instruction-tuned Language Models. CoRR abs/2306.11270 (2023) - [i55]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 abs/2309.04550 (2023) - [i54]Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau:
Function Vectors in Large Language Models. CoRR abs/2310.15213 (2023) - [i53]Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau:
Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. CoRR abs/2311.04897 (2023) - [i52]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 abs/2311.11211 (2023) - 2022
- [c85]Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. ACL (Findings) 2022: 1934-1946 - [c84]Ashwin Devaraj, William Sheffield, Byron C. Wallace, Junyi Jessy Li:
Evaluating Factuality in Text Simplification. ACL (1) 2022: 7331-7345 - [c83]Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace:
Intermediate Entity-based Sparse Interpretable Representation Learning. BlackboxNLP@EMNLP 2022: 210-224 - [c82]Lucy Lu Wang, Jay DeYoung, Byron C. Wallace:
Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews. SDP@COLING 2022: 175-180 - [c81]Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova:
Influence Functions for Sequence Tagging Models. EMNLP (Findings) 2022: 824-839 - [c80]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. EMNLP 2022: 3626-3648 - [c79]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: 5571-5587 - [c78]Nikita Salkar, Thomas A. Trikalinos, Byron C. Wallace, Ani Nenkova:
Self-Repetition in Abstractive Neural Summarizers. AACL/IJCNLP (2) 2022: 341-350 - [i51]Ashwin Devaraj, William Sheffield, Byron C. Wallace, Junyi Jessy Li:
Evaluating Factuality in Text Simplification. CoRR abs/2204.07562 (2022) - [i50]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 abs/2206.02696 (2022) - [i49]Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace:
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. CoRR abs/2210.06331 (2022) - [i48]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 abs/2210.06565 (2022) - [i47]Nikita Salkar, Thomas A. Trikalinos, Byron C. Wallace, Ani Nenkova:
Self-Repetition in Abstractive Neural Summarizers. CoRR abs/2210.08145 (2022) - [i46]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 abs/2210.12560 (2022) - [i45]Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova:
Influence Functions for Sequence Tagging Models. CoRR abs/2210.14177 (2022) - [i44]Diego García-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace:
Intermediate Entity-based Sparse Interpretable Representation Learning. CoRR abs/2212.01641 (2022) - 2021
- [j18]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): 117-140 (2021) - [c77]Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney:
Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) 2021: 3547-3561 - [c76]Dezon K. Finch, Lina Bouayad, Timothy P. Hogan, Sarah L. Cutrona, Byron C. Wallace, Stephen L. Luther, Bridget Smith, Stephanie L. Shimada:
Identifying Communication Behavior Indicators in Secure Messages. AMIA 2021 - [c75]Bryan D. Steitz, Emily Alsentzer, Hoo Chang Shin, Byron C. Wallace, Adam Wright:
Applying State of the Art Language Models to Enable Better Clinical Natural Language Processing. AMIA 2021 - [c74]Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace:
Disentangling Representations of Text by Masking Transformers. EMNLP (1) 2021: 778-791 - [c73]David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace:
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data. EMNLP (1) 2021: 4992-5001 - [c72]Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace:
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? NAACL-HLT 2021: 946-959 - [c71]Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. NAACL-HLT 2021: 967-975 - [c70]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: 3808-3823 - [c69]Ashwin Devaraj, Iain James Marshall, Byron C. Wallace, Junyi Jessy Li:
Paragraph-level Simplification of Medical Texts. NAACL-HLT 2021: 4972-4984 - [i43]Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh:
An Empirical Comparison of Instance Attribution Methods for NLP. CoRR abs/2104.04128 (2021) - [i42]Ashwin Devaraj, Iain James Marshall, Byron C. Wallace, Junyi Jessy Li:
Paragraph-level Simplification of Medical Texts. CoRR abs/2104.05767 (2021) - [i41]Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace:
On the Impact of Random Seeds on the Fairness of Clinical Classifiers. CoRR abs/2104.06338 (2021) - [i40]Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace:
Disentangling Representations of Text by Masking Transformers. CoRR abs/2104.07155 (2021) - [i39]Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace:
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? CoRR abs/2104.07762 (2021) - [i38]Diego García-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney:
Biomedical Interpretable Entity Representations. CoRR abs/2106.09502 (2021) - [i37]Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace:
Combining Feature and Instance Attribution to Detect Artifacts. CoRR abs/2107.00323 (2021) - [i36]Gregory Kell, Iain James Marshall, Byron C. Wallace, André Jaun:
What Would it Take to get Biomedical QA Systems into Practice? CoRR abs/2109.10415 (2021) - [i35]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 abs/2111.06012 (2021) - 2020
- [j17]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): 1903-1912 (2020) - [c68]Benjamin E. Nye, Ani Nenkova, Iain James Marshall, Byron C. Wallace:
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. ACL (demo) 2020: 63-69 - [c67]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: 4443-4458 - [c66]Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. ACL 2020: 4459-4473 - [c65]Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov:
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. ACL 2020: 5553-5563 - [c64]Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron C. Wallace:
Semi-Automating Knowledge Base Construction for Cancer Genetics. AKBC 2020 - [c63]Stefan Olafsson, Byron C. Wallace, Timothy W. Bickmore:
Towards a Computational Framework for Automating Substance Use Counseling with Virtual Agents. AAMAS 2020: 966-974 - [c62]Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace:
Evidence Inference 2.0: More Data, Better Models. BioNLP 2020: 123-132 - [c61]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: 139-150 - [c60]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: 632-659 - [e8]Karin Verspoor, Kevin Bretonnel Cohen, Michael Conway, Berry de Bruijn, Mark Dredze, Rada Mihalcea, Byron C. Wallace:
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020. Association for Computational Linguistics 2020 [contents] - [e7]Finale Doshi-Velez, Jim Fackler, Ken Jung, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens:
Proceedings of the Machine Learning for Healthcare Conference, MLHC 2020, 7-8 August 2020, Virtual Event, Durham, NC, USA. Proceedings of Machine Learning Research 126, PMLR 2020 [contents] - [i34]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 abs/2004.04123 (2020) - [i33]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 abs/2004.04564 (2020) - [i32]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 abs/2004.04645 (2020) - [i31]Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace:
Learning to Faithfully Rationalize by Construction. CoRR abs/2005.00115 (2020) - [i30]Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace:
Evidence Inference 2.0: More Data, Better Models. CoRR abs/2005.04177 (2020) - [i29]Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov:
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. CoRR abs/2005.06676 (2020) - [i28]Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron C. Wallace:
Semi-Automating Knowledge Base Construction for Cancer Genetics. CoRR abs/2005.08146 (2020) - [i27]Benjamin E. Nye, Ani Nenkova, Iain James Marshall, Byron C. Wallace:
Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. CoRR abs/2005.10865 (2020) - [i26]Byron C. Wallace, Sayantan Saha, Frank Soboczenski, Iain James Marshall:
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization. CoRR abs/2008.11293 (2020) - [i25]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 abs/2010.03550 (2020) - [i24]David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace:
Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data. CoRR abs/2010.11966 (2020)
2010 – 2019
- 2019
- [j16]