Byron C. Wallace

246 papers A* 29A 7B 6Misc 3Journal 119Unranked 74

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical Evidence. CoRR Kaijie Mo, Siddhartha Venkatayogi, Chantal Shaib, Ramez Kouzy, Wei Xu, Byron C. Wallace, Junyi Jessy Li
2025	J	`jnl`	Can SAEs reveal and mitigate racial biases of LLMs in healthcare? CoRR Hiba Ahsan, Byron C. Wallace
2025	—	`conf`	Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature? CHIL Hye Sun Yun, Karen Y. C. Zhang, Ramez Kouzy, Iain James Marshall, Junyi Jessy Li, Byron C. Wallace
2025	J	`jnl`	Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature? CoRR Hye Sun Yun, Karen Y. C. Zhang, Ramez Kouzy, Iain James Marshall, Junyi Jessy Li, Byron C. Wallace
2025	J	`jnl`	Circuit Distillation. CoRR Somin Wadhwa, Silvio Amir, Byron C. Wallace
2025	J	`jnl`	Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine. CoRR Sebastian Joseph, Lily Chen, Barry Wei, Michael Mackert, Iain James Marshall, Paul Pu Liang, Ramez Kouzy, Byron C. Wallace, Junyi Jessy Li
2025	J	`jnl`	Do Natural Language Descriptions of Model Activations Convey Privileged Information? CoRR Millicent Li, Alberto Mario Ceballos-Arroyo, Giordano Rogers, Naomi Saphra, Byron C. Wallace
2025	—	`conf`	Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare. EMNLP (Findings) Hiba Ahsan, Arnab Sen Sharma, Silvio Amir, David Bau, Byron C. Wallace
2025	J	`jnl`	Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare. CoRR Hiba Ahsan, Arnab Sen Sharma, Silvio Amir, David Bau, Byron C. Wallace
2025	J	`jnl`	Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models. CoRR Chantal Shaib, Vinith M. Suriyakumar, Levent Sagun, Byron C. Wallace, Marzyeh Ghassemi
2025	J	`jnl`	Measuring AI "Slop" in Text. CoRR Chantal Shaib, Tuhin Chakrabarty, Diego Garcia-Olano, Byron C. Wallace
2025	A*	`conf`	NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals. ICLR Jaden Fried Fiotto-Kaufman, Alexander Russell Loftus, Eric Todd, Jannik Brinkmann, Koyena Pal, Dmitrii Troitskii, Michael Ripa, Adam Belfki, Can Rager, Caden Juang, Aaron Mueller, Samuel Marks, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C. Wallace, David Bau
2025	J	`jnl`	The Dual-Route Model of Induction. CoRR Sheridan Feucht, Eric Todd, Byron C. Wallace, David Bau
2025	J	`jnl`	Vector Arithmetic in Concept and Token Subspaces. CoRR Sheridan Feucht, Byron C. Wallace, David Bau
2025	—	`conf`	Who Taught You That? Tracing Teachers in Model Distillation. ACL (Findings) Somin Wadhwa, Chantal Shaib, Silvio Amir, Byron C. Wallace
2025	J	`jnl`	Who Taught You That? Tracing Teachers in Model Distillation. CoRR Somin Wadhwa, Chantal Shaib, Silvio Amir, Byron C. Wallace
2024	—	`conf`	Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models. MLHC Hye Sun Yun, David Pogrebitskiy, Iain James Marshall, Byron C. Wallace
2024	J	`jnl`	Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models. CoRR Hye Sun Yun, David Pogrebitskiy, Iain James Marshall, Byron C. Wallace
2024	A*	`conf`	Detection and Measurement of Syntactic Templates in Generated Text. EMNLP Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C. Wallace
2024	J	`jnl`	Detection and Measurement of Syntactic Templates in Generated Text. CoRR Chantal Shaib, Yanai Elazar, Junyi Jessy Li, Byron C. Wallace
2024	J	`jnl`	Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation. CoRR Sanjana Ramprasad, Byron C. Wallace
2024	J	`jnl`	Do Multi-Document Summarization Models Trans. Assoc. Comput. Linguistics Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace
2024	—	`conf`	Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. EACL (2) Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace
2024	J	`jnl`	Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. CoRR Sanjana Ramprasad, Kundan Krishna, Zachary C. Lipton, Byron C. Wallace
2024	A*	`conf`	Evaluating the Zero-shot Robustness of Instruction-tuned Language Models. ICLR Jiuding Sun, Chantal Shaib, Byron C. Wallace
2024	—	`conf`	FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence. ACL (1) Sebastian Joseph, Lily Chen, Jan Trienes, Hannah Louisa Göke, Monika Coers, Wei Xu, Byron C. Wallace, Junyi Jessy Li
2024	J	`jnl`	FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence. CoRR Sebastian Antony Joseph, Lily Chen, Jan Trienes, Hannah Louisa Göke, Monika Coers, Wei Xu, Byron C. Wallace, Junyi Jessy Li
2024	A*	`conf`	Function Vectors in Large Language Models. ICLR Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau
2024	J	`jnl`	GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence. CoRR Kundan Krishna, Sanjana Ramprasad, Prakhar Gupta, Byron C. Wallace, Zachary C. Lipton, Jeffrey P. Bigham
2024	J	`jnl`	How Much Annotation is Needed to Compare Summarization Models? CoRR Chantal Shaib, Joe Barrow, Alexa F. Siu, Byron C. Wallace, Ani Nenkova
2024	—	`conf`	InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. ACL (1) Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li
2024	J	`jnl`	InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. CoRR Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li
2024	A*	`conf`	Investigating Mysteries of CoT-Augmented Distillation. EMNLP Somin Wadhwa, Silvio Amir, Byron C. Wallace
2024	J	`jnl`	Investigating Mysteries of CoT-Augmented Distillation. CoRR Somin Wadhwa, Silvio Amir, Byron C. Wallace
2024	A*	`conf`	Learning from Natural Language Explanations for Generalizable Entity Matching. EMNLP Somin Wadhwa, Adit Krishnan, Runhui Wang, Byron C. Wallace, Luyang Kong
2024	J	`jnl`	Learning from Natural Language Explanations for Generalizable Entity Matching. CoRR Somin Wadhwa, Adit Krishnan, Runhui Wang, Byron C. Wallace, Chris Kong
2024	—	`conf`	Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study. EACL (2) Zhaoyue Sun, Gabriele Pergola, Byron C. Wallace, Yulan He
2024	J	`jnl`	Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study. CoRR Zhaoyue Sun, Gabriele Pergola, Byron C. Wallace, Yulan He
2024	J	`jnl`	Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. J. Biomed. Informatics 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
2024	J	`jnl`	NNsight and NDIF: Democratizing Access to Foundation Model Internals. CoRR 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
2024	—	`conf`	On-the-fly Definition Augmentation of LLMs for Biomedical NER. NAACL-HLT Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik
2024	J	`jnl`	On-the-fly Definition Augmentation of LLMs for Biomedical NER. CoRR Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik
2024	—	`conf`	Open (Clinical) LLMs are Sensitive to Instruction Phrasings. BioNLP@ACL Alberto Mario Ceballos-Arroyo, Monica Munnangi, Jiuding Sun, Karen Y. C. Zhang, Denis Jered McInerney, Byron C. Wallace, Silvio Amir
2024	J	`jnl`	Open (Clinical) LLMs are Sensitive to Instruction Phrasings. CoRR Alberto Mario Ceballos-Arroyo, Monica Munnangi, Jiuding Sun, Karen Y. C. Zhang, Denis Jered McInerney, Byron C. Wallace, Silvio Amir
2024	J	`jnl`	Question answering systems for health professionals at the point of care - a systematic review. CoRR Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall
2024	J	`jnl`	Question answering systems for health professionals at the point of care - a systematic review. J. Am. Medical Informatics Assoc. Gregory Kell, Angus Roberts, Serge Umansky, Linglong Qian, Davide Ferrari, Frank Soboczenski, Byron C. Wallace, Nikhil Patel, Iain James Marshall
2024	—	`conf`	Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges. CHIL Hiba Ahsan, Denis Jered McInerney, Jisoo Kim, Christopher Potter, Geoffrey S. Young, Silvio Amir, Byron C. Wallace
2024	J	`jnl`	Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores. CoRR Chantal Shaib, Joe Barrow, Jiuding Sun, Alexa F. Siu, Byron C. Wallace, Ani Nenkova
2024	A*	`conf`	Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs. EMNLP Sheridan Feucht, David Atkinson, Byron C. Wallace, David Bau
2024	J	`jnl`	Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs. CoRR Sheridan Feucht, David Atkinson, Byron C. Wallace, David Bau
2024	—	`conf`	Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. NAACL-HLT Denis Jered McInerney, William Dickinson, Lucy C. Flynn, Andrea Young, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2024	J	`jnl`	Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. CoRR Denis Jered McInerney, William Dickinson, Lucy C. Flynn, Andrea Young, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2023	B	`conf`	Accomodating User Expressivity while Maintaining Safety for a Virtual Alcohol Misuse Counselor. IVA Stefan Olafsson, Paola Pedrelli, Byron C. Wallace, Timothy W. Bickmore
2023	A*	`conf`	Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. EMNLP Hye Sun Yun, Iain James Marshall, Thomas A. Trikalinos, Byron C. Wallace
2023	J	`jnl`	Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. CoRR Hye Sun Yun, Iain James Marshall, Thomas A. Trikalinos, Byron C. Wallace
2023	—	`conf`	Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations. ACL (1) Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey Kuehl, Erin Bransom, Byron C. Wallace
2023	J	`jnl`	Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations. CoRR Lucy Lu Wang, Yulia Otmakhova, Jay DeYoung, Thinh Hung Truong, Bailey E. Kuehl, Erin Bransom, Byron C. Wallace
2023	—	`conf`	Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges. EACL (System Demonstrations) Sanjana Ramprasad, Denis Jered McInerney, Iain James Marshall, Byron C. Wallace
2023	J	`jnl`	Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges. CoRR Sanjana Ramprasad, Denis Jered McInerney, Iain James Marshall, Byron C. Wallace
2023	—	`conf`	CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models. EMNLP (Findings) Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2023	J	`jnl`	CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models. CoRR Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2023	J	`jnl`	Do Multi-Document Summarization Models Synthesize? CoRR Jay DeYoung, Stephanie C. Martinez, Iain James Marshall, Byron C. Wallace
2023	J	`jnl`	Evaluating the Zero-shot Robustness of Instruction-tuned Language Models. CoRR Jiuding Sun, Chantal Shaib, Byron C. Wallace
2023	J	`jnl`	Function Vectors in Large Language Models. CoRR Eric Todd, Millicent L. Li, Arnab Sen Sharma, Aaron Mueller, Byron C. Wallace, David Bau
2023	B	`conf`	Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. CoNLL Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau
2023	J	`jnl`	Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. CoRR Koyena Pal, Jiuding Sun, Andrew Yuan, Byron C. Wallace, David Bau
2023	A	`conf`	How Many and Which Training Points Would Need to be Removed to Flip this Prediction? EACL Jinghan Yang, Sarthak Jain, Byron C. Wallace
2023	J	`jnl`	How Many and Which Training Points Would Need to be Removed to Flip this Prediction? CoRR Jinghan Yang, Sarthak Jain, Byron C. Wallace
2023	—	`conf`	Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. MLHC Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace
2023	J	`jnl`	Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. CoRR Somin Wadhwa, Jay DeYoung, Benjamin E. Nye, Silvio Amir, Byron C. Wallace
2023	J	`jnl`	Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. CoRR 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
2023	A*	`conf`	Multilingual Simplification of Medical Texts. EMNLP Sebastian Joseph, Kathryn Kazanas, Keziah Reina, Vishnesh J. Ramanathan, Wei Xu, Byron C. Wallace, Junyi Jessy Li
2023	J	`jnl`	Multilingual Simplification of Medical Texts. CoRR Sebastian Joseph, Kathryn Kazanas, Keziah Reina, Vishnesh J. Ramanathan, Wei Xu, Byron C. Wallace, Junyi Jessy Li
2023	—	`conf`	NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization. EACL (Findings) Junru Lu, Jiazheng Li, Byron C. Wallace, Yulan He, Gabriele Pergola
2023	J	`jnl`	NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization. CoRR Junru Lu, Jiazheng Li, Byron C. Wallace, Yulan He, Gabriele Pergola
2023	—	`conf`	RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. EACL (Findings) Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace
2023	J	`jnl`	Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges. CoRR Hiba Ahsan, Denis Jered McInerney, Jisoo Kim, Christopher Potter, Geoffrey S. Young, Silvio Amir, Byron C. Wallace
2023	—	`conf`	Revisiting Relation Extraction in the era of Large Language Models. ACL (1) Somin Wadhwa, Silvio Amir, Byron C. Wallace
2023	J	`jnl`	Revisiting Relation Extraction in the era of Large Language Models. CoRR Somin Wadhwa, Silvio Amir, Byron C. Wallace
2023	—	`conf`	SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts. SemEval@ACL Vivek Khetan, Somin Wadhwa, Byron C. Wallace, Silvio Amir
2023	J	`jnl`	Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success). CoRR Chantal Shaib, Millicent L. Li, Sebastian Joseph, Iain James Marshall, Junyi Jessy Li, Byron C. Wallace
2023	—	`conf`	Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success). ACL (2) Chantal Shaib, Millicent L. Li, Sebastian Joseph, Iain James Marshall, Junyi Jessy Li, Byron C. Wallace
2023	—	`conf`	USB: A Unified Summarization Benchmark Across Tasks and Domains. EMNLP (Findings) Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
2023	J	`jnl`	USB: A Unified Summarization Benchmark Across Tasks and Domains. CoRR Kundan Krishna, Prakhar Gupta, Sanjana Ramprasad, Byron C. Wallace, Jeffrey P. Bigham, Zachary C. Lipton
2022	—	`conf`	Combining Feature and Instance Attribution to Detect Artifacts. ACL (Findings) Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace
2022	—	`conf`	Evaluating Factuality in Text Simplification. ACL (1) Ashwin Devaraj, William Sheffield, Byron C. Wallace, Junyi Jessy Li
2022	J	`jnl`	Evaluating Factuality in Text Simplification. CoRR Ashwin Devaraj, William Sheffield, Byron C. Wallace, Junyi Jessy Li
2022	—	`conf`	Influence Functions for Sequence Tagging Models. EMNLP (Findings) Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova
2022	J	`jnl`	Influence Functions for Sequence Tagging Models. CoRR Sarthak Jain, Varun Manjunatha, Byron C. Wallace, Ani Nenkova
2022	—	`conf`	Intermediate Entity-based Sparse Interpretable Representation Learning. BlackboxNLP@EMNLP Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
2022	J	`jnl`	Intermediate Entity-based Sparse Interpretable Representation Learning. CoRR Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
2022	J	`jnl`	Learning to Ask Like a Physician. CoRR 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
2022	—	`conf`	Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews. SDP@COLING Lucy Lu Wang, Jay DeYoung, Byron C. Wallace
2022	A*	`conf`	PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. EMNLP Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron C. Wallace, Bino John, Nigel Greene, Joseph Kim, Yulan He
2022	J	`jnl`	PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. CoRR Zhaoyue Sun, Jiazheng Li, Gabriele Pergola, Byron C. Wallace, Bino John, Nigel Greene, Joseph Kim, Yulan He
2022	J	`jnl`	RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. CoRR Somin Wadhwa, Vivek Khetan, Silvio Amir, Byron C. Wallace
2022	—	`conf`	Self-Repetition in Abstractive Neural Summarizers. AACL/IJCNLP (2) Nikita Salkar, Thomas A. Trikalinos, Byron C. Wallace, Ani Nenkova
2022	J	`jnl`	Self-Repetition in Abstractive Neural Summarizers. CoRR Nikita Salkar, Thomas A. Trikalinos, Byron C. Wallace, Ani Nenkova
2022	A*	`conf`	That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. EMNLP Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2022	J	`jnl`	That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. CoRR Denis Jered McInerney, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2021	—	`conf`	An Empirical Comparison of Instance Attribution Methods for NLP. NAACL-HLT Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh
2021	J	`jnl`	An Empirical Comparison of Instance Attribution Methods for NLP. CoRR Pouya Pezeshkpour, Sarthak Jain, Byron C. Wallace, Sameer Singh
2021	Misc	`conf`	Applying State of the Art Language Models to Enable Better Clinical Natural Language Processing. AMIA Bryan D. Steitz, Emily Alsentzer, Hoo Chang Shin, Byron C. Wallace, Adam Wright
2021	—	`conf`	Biomedical Interpretable Entity Representations. ACL/IJCNLP (Findings) Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
2021	J	`jnl`	Biomedical Interpretable Entity Representations. CoRR Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
2021	J	`jnl`	Combining Feature and Instance Attribution to Detect Artifacts. CoRR Pouya Pezeshkpour, Sarthak Jain, Sameer Singh, Byron C. Wallace
2021	—	`conf`	Disentangling Representations of Text by Masking Transformers. EMNLP (1) Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace
2021	J	`jnl`	Disentangling Representations of Text by Masking Transformers. CoRR Xiongyi Zhang, Jan-Willem van de Meent, Byron C. Wallace
2021	—	`conf`	Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? NAACL-HLT Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace
2021	J	`jnl`	Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? CoRR Eric Lehman, Sarthak Jain, Karl Pichotta, Yoav Goldberg, Byron C. Wallace
2021	Misc	`conf`	Identifying Communication Behavior Indicators in Secure Messages. AMIA Dezon K. Finch, Lina Bouayad, Timothy P. Hogan, Sarah L. Cutrona, Byron C. Wallace, Stephen L. Luther, Bridget Smith, Stephanie L. Shimada
2021	J	`jnl`	Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. Comput. Linguistics Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
2021	J	`jnl`	Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking. CoRR Denis Jered McInerney, Luyang Kong, Kristjan Arumae, Byron C. Wallace, Parminder Bhatia
2021	—	`conf`	On the Impact of Random Seeds on the Fairness of Clinical Classifiers. NAACL-HLT Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace
2021	J	`jnl`	On the Impact of Random Seeds on the Fairness of Clinical Classifiers. CoRR Silvio Amir, Jan-Willem van de Meent, Byron C. Wallace
2021	—	`conf`	Paragraph-level Simplification of Medical Texts. NAACL-HLT Ashwin Devaraj, Iain James Marshall, Byron C. Wallace, Junyi Jessy Li
2021	J	`jnl`	Paragraph-level Simplification of Medical Texts. CoRR Ashwin Devaraj, Iain James Marshall, Byron C. Wallace, Junyi Jessy Li
2021	—	`conf`	Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data. EMNLP (1) David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace
2021	J	`jnl`	What Would it Take to get Biomedical QA Systems into Practice? CoRR Gregory Kell, Iain James Marshall, Byron C. Wallace, André Jaun
2020	A*	`conf`	ERASER: A Benchmark to Evaluate Rationalized NLP Models. ACL Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace
2020	J	`jnl`	Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models. CoRR Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
2020	—	`conf`	Evidence Inference 2.0: More Data, Better Models. BioNLP Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace
2020	J	`jnl`	Evidence Inference 2.0: More Data, Better Models. CoRR Jay DeYoung, Eric Lehman, Benjamin E. Nye, Iain James Marshall, Byron C. Wallace
2020	A*	`conf`	Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. ACL Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov
2020	J	`jnl`	Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. CoRR Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov
2020	J	`jnl`	Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization. CoRR Byron C. Wallace, Sayantan Saha, Frank Soboczenski, Iain James Marshall
2020	J	`jnl`	Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. CoRR Oshin Agarwal, Yinfei Yang, Byron C. Wallace, Ani Nenkova
2020	A*	`conf`	Learning to Faithfully Rationalize by Construction. ACL Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace
2020	J	`jnl`	Learning to Faithfully Rationalize by Construction. CoRR Sarthak Jain, Sarah Wiegreffe, Yuval Pinter, Byron C. Wallace
2020	—	`conf`	MMiDaS-AE: multi-modal missing data aware stacked autoencoder for biomedical abstract screening. CHIL Eric Wonhee Lee, Byron C. Wallace, Karla I. Galaviz, Joyce C. Ho
2020	—	`ed.`	Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020 NLP4COVID@EMNLP Karin Verspoor, Kevin Bretonnel Cohen, Michael Conway, Berry de Bruijn, Mark Dredze, Rada Mihalcea, Byron C. Wallace
2020	—	`ed.`	Proceedings of the Machine Learning for Healthcare Conference, MLHC 2020, 7-8 August 2020, Virtual Event, Durham, NC, USA. MLHC Finale Doshi-Velez, Jim Fackler, Ken Jung, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens
2020	—	`conf`	Query-Focused EHR Summarization to Aid Imaging Diagnosis. MLHC Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2020	J	`jnl`	Query-Focused EHR Summarization to Aid Imaging Diagnosis. CoRR Denis Jered McInerney, Borna Dabiri, Anne-Sophie Touret, Geoffrey S. Young, Jan-Willem van de Meent, Byron C. Wallace
2020	—	`conf`	Semi-Automating Knowledge Base Construction for Cancer Genetics. AKBC Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron C. Wallace
2020	J	`jnl`	Semi-Automating Knowledge Base Construction for Cancer Genetics. CoRR Somin Wadhwa, Kanhua Yin, Kevin S. Hughes, Byron C. Wallace
2020	A	`conf`	Towards a Computational Framework for Automating Substance Use Counseling with Virtual Agents. AAMAS Stefan Olafsson, Byron C. Wallace, Timothy W. Bickmore
2020	J	`jnl`	Trialstreamer: A living, automatically updated database of clinical trial reports. J. Am. Medical Informatics Assoc. Iain James Marshall, Benjamin E. Nye, Joël Kuiper, Anna Noel-Storr, Rachel Marshall, Rory Maclean, Frank Soboczenski, Ani Nenkova, James Thomas, Byron C. Wallace
2020	—	`conf`	Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. ACL (demo) Benjamin E. Nye, Ani Nenkova, Iain James Marshall, Byron C. Wallace
2020	J	`jnl`	Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. CoRR Benjamin E. Nye, Ani Nenkova, Iain James Marshall, Byron C. Wallace
2020	J	`jnl`	Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations. CoRR Benjamin E. Nye, Jay DeYoung, Eric Lehman, Ani Nenkova, Iain James Marshall, Byron C. Wallace
2020	J	`jnl`	Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data. CoRR David Lowell, Brian E. Howard, Zachary C. Lipton, Byron C. Wallace
2019	J	`jnl`	An Analysis of Attention over Clinical Notes for Predictive Tasks. CoRR Sarthak Jain, Ramin Mohammadi, Byron C. Wallace
2019	—	`conf`	Are Online Reviews of Physicians Biased Against Female Providers? MLHC Avijit Thawani, Michael J. Paul, Urmimala Sarkar, Byron C. Wallace
2019	—	`conf`	Attention is not Explanation. NAACL-HLT (1) Sarthak Jain, Byron C. Wallace
2019	J	`jnl`	Attention is not Explanation. CoRR Sarthak Jain, Byron C. Wallace
2019	J	`jnl`	ERASER: A Benchmark to Evaluate Rationalized NLP Models. CoRR Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace
2019	A	`conf`	Explainable modeling of annotations in crowdsourcing. IUI An T. Nguyen, Matthew Lease, Byron C. Wallace
2019	—	`conf`	Inferring Which Medical Treatments Work from Reports of Clinical Trials. NAACL-HLT (1) Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace
2019	J	`jnl`	Inferring Which Medical Treatments Work from Reports of Clinical Trials. CoRR Eric Lehman, Jay DeYoung, Regina Barzilay, Byron C. Wallace
2019	J	`jnl`	Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data. CoRR Ramin Mohammadi, Sarthak Jain, Stephen Agboola, Ramya Palacholla, Sagar V. Kamarthi, Byron C. Wallace
2019	J	`jnl`	Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study. BMC Medical Informatics Decis. Mak. Frank Soboczenski, Thomas A. Trikalinos, Joël Kuiper, Randolph G. Bias, Byron C. Wallace, Iain James Marshall
2019	—	`conf`	Mash: software tools for developing interactive and transparent machine learning systems. IUI Workshops An Thanh Nguyen, Matt Lease, Byron C. Wallace
2019	—	`conf`	Practical Obstacles to Deploying Active Learning. EMNLP/IJCNLP (1) David Lowell, Zachary C. Lipton, Byron C. Wallace
2019	—	`conf`	Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction. NAACL-HLT (1) Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, Ani Nenkova
2019	J	`jnl`	Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction. CoRR Yinfei Yang, Oshin Agarwal, Chris Tar, Byron C. Wallace, Ani Nenkova
2019	—	`ed.`	Proceedings of the Machine Learning for Healthcare Conference, MLHC 2019, 9-10 August 2019, Ann Arbor, Michigan, USA. MLHC Finale Doshi-Velez, Jim Fackler, Ken Jung, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens
2019	A	`conf`	Structured Neural Topic Models for Reviews. AISTATS Babak Esmaeili, Hongyi Huang, Byron C. Wallace, Jan-Willem van de Meent
2019	A*	`conf`	What Does the Evidence Say? Models to Help Make Sense of the Biomedical Literature. IJCAI Byron C. Wallace
2018	—	`conf`	A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature. ACL (1) Benjamin E. Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace
2018	J	`jnl`	A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature. CoRR Benjamin E. Nye, Junyi Jessy Li, Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace
2018	A*	`conf`	An Interpretable Joint Graphical Model for Fact-Checking From Crowds. AAAI An T. Nguyen, Aditya Kharosekar, Matthew Lease, Byron C. Wallace
2018	—	`conf`	Automating Biomedical Evidence Synthesis: Recent Work and Directions Forward. BIRNDL@SIGIR Byron C. Wallace
2018	A*	`conf`	Believe it or not: Designing a Human-AI Partnership for Mixed-Initiative Fact-Checking. UIST An T. Nguyen, Aditya Kharosekar, Saumyaa Krishnan, Siddhesh Krishnan, Elizabeth Tate, Byron C. Wallace, Matthew Lease
2018	J	`jnl`	How transferable are the datasets collected by active learners? CoRR David Lowell, Zachary C. Lipton, Byron C. Wallace
2018	A*	`conf`	Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. EMNLP Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace
2018	J	`jnl`	Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. CoRR Sarthak Jain, Edward Banner, Jan-Willem van de Meent, Iain James Marshall, Byron C. Wallace
2018	J	`jnl`	Neural information retrieval: at the end of the early years. Inf. Retr. J. Kezban Dilek Onal, Ye Zhang, Ismail Sengor Altingovde, Md. Mustafizur Rahman, Pinar Karagoz, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke, Matthew Lease
2018	—	`ed.`	Proceedings of the Machine Learning for Healthcare Conference, MLHC 2018, 17-18 August 2018, Palo Alto, California MLHC Finale Doshi-Velez, Jim Fackler, Ken Jung, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens
2018	A*	`conf`	Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding. EMNLP Gaurav Singh, James Thomas, Iain James Marshall, John Shawe-Taylor, Byron C. Wallace
2018	J	`jnl`	Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding. CoRR Gaurav Singh, James Thomas, Iain James Marshall, John Shawe-Taylor, Byron C. Wallace
2018	J	`jnl`	Structured Representations for Reviews: Aspect-Based Variational Hidden Factor Models. CoRR Babak Esmaeili, Hongyi Huang, Byron C. Wallace, Jan-Willem van de Meent
2018	—	`conf`	Syntactic Patterns Improve Information Extraction for Medical Search. NAACL-HLT (2) Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace
2018	J	`jnl`	Syntactic Patterns Improve Information Extraction for Medical Search. CoRR Roma Patel, Yinfei Yang, Iain James Marshall, Ani Nenkova, Byron C. Wallace
2017	A	`conf`	A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation. CIKM Gaurav Singh, Iain James Marshall, James Thomas, John Shawe-Taylor, Byron C. Wallace
2017	—	`conf`	A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification. IJCNLP(1) Ye Zhang, Byron C. Wallace
2017	A*	`conf`	Active Discriminative Text Representation Learning. AAAI Ye Zhang, Matthew Lease, Byron C. Wallace
2017	—	`conf`	Aggregating and Predicting Sequence Labels from Crowd Annotations. ACL (1) An Thanh Nguyen, Byron C. Wallace, Junyi Jessy Li, Ani Nenkova, Matthew Lease
2017	—	`conf`	Automating Biomedical Evidence Synthesis: RobotReviewer. ACL (System Demonstrations) Iain James Marshall, Joël Kuiper, Edward Banner, Byron C. Wallace
2017	—	`conf`	Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks. SMM4H@AMIA Sarthak Jain, Xun Peng, Byron C. Wallace
2017	—	`conf`	Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization. ACL (2) Ye Zhang, Matthew Lease, Byron C. Wallace
2017	J	`jnl`	Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization. CoRR Ye Zhang, Matthew Lease, Byron C. Wallace
2017	—	`conf`	Identifying Diagnostic Test Accuracy Publications using a Deep Model. CLEF (Working Notes) Gaurav Singh, Iain James Marshall, James Thomas, Byron C. Wallace
2017	J	`jnl`	Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach. J. Am. Medical Informatics Assoc. Byron C. Wallace, Anna Noel-Storr, Iain James Marshall, Aaron M. Cohen, Neil R. Smalheiser, James Thomas
2017	—	`conf`	PheKnow-Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature. CRI Jette Henderson, Ryan Bridges, Joyce C. Ho, Byron C. Wallace, Joydeep Ghosh
2017	—	`ed.`	Proceedings of the Machine Learning for Healthcare Conference, MLHC 2017, Boston, Massachusetts, USA, 18-19 August 2017 MLHC Finale Doshi-Velez, Jim Fackler, David C. Kale, Rajesh Ranganath, Byron C. Wallace, Jenna Wiens
2017	—	`conf`	Quantifying Mental Health from Social Media with Neural User Embeddings. MLHC Silvio Amir, Glen Coppersmith, Paula Carvalho, Mário J. Silva, Byron C. Wallace
2017	J	`jnl`	Quantifying Mental Health from Social Media with Neural User Embeddings. CoRR Silvio Amir, Glen Coppersmith, Paula Carvalho, Mário J. Silva, Byron C. Wallace
2017	J	`jnl`	Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. AI Mag. Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu
2017	—	`conf`	Retrofitting Concept Vector Representations of Medical Concepts to Improve Estimates of Semantic Similarity and Relatedness. MedInfo Zhiguo Yu, Byron C. Wallace, Todd R. Johnson, Trevor Cohen
2017	J	`jnl`	Retrofitting Concept Vector Representations of Medical Concepts to Improve Estimates of Semantic Similarity and Relatedness. CoRR Zhiguo Yu, Byron C. Wallace, Todd R. Johnson, Trevor Cohen
2016	A	`conf`	A Correlated Worker Model for Grouped, Imbalanced and Multitask Data. UAI An T. Nguyen, Byron C. Wallace, Matthew Lease
2016	J	`jnl`	Active Discriminative Word Embedding Learning. CoRR Ye Zhang, Byron C. Wallace
2016	—	`conf`	Automated Verification of Phenotypes using PubMed. BCB Ryan Bridges, Jette Henderson, Joyce C. Ho, Byron C. Wallace, Joydeep Ghosh
2016	J	`jnl`	Crowdsourcing Information Extraction for Biomedical Systematic Reviews. CoRR Yalin Sun, Pengxiang Cheng, Shengwei Wang, Hao Lyu, Matthew Lease, Iain James Marshall, Byron C. Wallace
2016	J	`jnl`	Editorial: special issue on machine learning for health and medicine. Mach. Learn. Jenna Wiens, Byron C. Wallace
2016	J	`jnl`	Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision. J. Mach. Learn. Res. Byron C. Wallace, Joël Kuiper, Aakash Sharma, Mingxi (Brian) Zhu, Iain James Marshall
2016	J	`jnl`	Improving the utility of MeSH® terms using the TopicalMeSH representation. J. Biomed. Informatics Zhiguo Yu, Elmer V. Bernstam, Trevor Cohen, Byron C. Wallace, Todd R. Johnson
2016	—	`conf`	Leveraging coreference to identify arms in medical abstracts: An experimental study. Louhi@EMNLP Elisa Ferracane, Iain James Marshall, Byron C. Wallace, Katrin Erk
2016	—	`conf`	MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification. HLT-NAACL Ye Zhang, Stephen Roller, Byron C. Wallace
2016	J	`jnl`	MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification. CoRR Ye Zhang, Stephen Roller, Byron C. Wallace
2016	B	`conf`	Modelling Context with User Embeddings for Sarcasm Detection in Social Media. CoNLL Silvio Amir, Byron C. Wallace, Hao Lyu, Paula Carvalho, Mário J. Silva
2016	J	`jnl`	Modelling Context with User Embeddings for Sarcasm Detection in Social Media. CoRR Silvio Amir, Byron C. Wallace, Hao Lyu, Paula Carvalho, Mário J. Silva
2016	J	`jnl`	Neural Information Retrieval: A Literature Review. CoRR Ye Zhang, Md. Mustafizur Rahman, Alex Braylan, Brandon Dang, Heng-Lu Chang, Henna Kim, Quinten McNamara, Aaron Angert, Edward Banner, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Matthew Lease
2016	B	`conf`	Probabilistic Modeling for Crowdsourcing Partially-Subjective Ratings. HCOMP An Thanh Nguyen, Matthew Halpern, Byron C. Wallace, Matthew Lease
2016	—	`ed.`	Proceedings of the 1st Machine Learning for Healthcare, MLHC 2016, Los Angeles, CA, USA, August 19-20, 2016 MLHC Finale Doshi-Velez, Jim Fackler, David C. Kale, Byron C. Wallace, Jenna Wiens
2016	A*	`conf`	Rationale-Augmented Convolutional Neural Networks for Text Classification. EMNLP Ye Zhang, Iain James Marshall, Byron C. Wallace
2016	J	`jnl`	Rationale-Augmented Convolutional Neural Networks for Text Classification. CoRR Ye Zhang, Iain James Marshall, Byron C. Wallace
2016	J	`jnl`	Reports of the 2016 AAAI Workshop Program. AI Mag. Stefano V. Albrecht, Bruno Bouchard, John S. Brownstein, David L. Buckeridge, Cornelia Caragea, Kevin M. Carter, Adnan Darwiche, Blaz Fortuna, Yannick Francillette, Sébastien Gaboury, C. Lee Giles, Marko Grobelnik, Estevam R. Hruschka Jr., Jeffrey O. Kephart, Parisa Kordjamshidi, Viliam Lisý, Daniele Magazzeni, João Marques-Silva, Pierre Marquis, David R. Martinez, Marek P. Michalowski, Arash Shaban-Nejad, Zeinab Noorian, Enrico Pontelli, Alex Rogers, Stephanie Rosenthal, Dan Roth, Arunesh Sinha, William W. Streilein, Sylvie Thiébaux, Tran Cao Son, Byron C. Wallace, Toby Walsh, Michael Witbrock, Jie Zhang
2016	—	`conf`	Retrofitting Word Vectors of MeSH Terms to Improve Semantic Similarity Measures. Louhi@EMNLP Zhiguo Yu, Trevor Cohen, Byron C. Wallace, Elmer V. Bernstam, Todd R. Johnson
2016	J	`jnl`	RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials. J. Am. Medical Informatics Assoc. Iain James Marshall, Joël Kuiper, Byron C. Wallace
2016	—	`conf`	Using Electronic Medical Records and Physician Data to Improve Information Retrieval for Evidence-Based Care. ICHI Mengqi Jin, Hongli Li, Christopher H. Schmid, Byron C. Wallace
2016	—	`ed.`	World Wide Web and Population Health Intelligence, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 12, 2016. AAAI Workshop: WWW and Population Health Intelligence Arash Shaban-Nejad, David L. Buckeridge, Byron C. Wallace, John S. Brownstein
2015	J	`jnl`	A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification. CoRR Ye Zhang, Byron C. Wallace
2015	J	`jnl`	Automating Risk of Bias Assessment for Clinical Trials. IEEE J. Biomed. Health Informatics Iain James Marshall, Joël Kuiper, Byron C. Wallace
2015	B	`conf`	Combining Crowd and Expert Labels Using Decision Theoretic Active Learning. HCOMP An Thanh Nguyen, Byron C. Wallace, Matthew Lease
2015	J	`jnl`	Computational irony: A survey and new perspectives. Artif. Intell. Rev. Byron C. Wallace
2015	A*	`conf`	Graph-Sparse LDA: A Topic Model with Structured Sparsity. AAAI Finale Doshi-Velez, Byron C. Wallace, Ryan P. Adams
2015	—	`conf`	Healthcare Data Analytics Challenge. ICHI Zhiguo Yu, Byron C. Wallace, Todd R. Johnson
2015	Misc	`conf`	Improving Retrieval of PubMed Articles Using the TopicalMeSH Representation. AMIA Zhiguo Yu, Elmer V. Bernstam, Trevor Cohen, Byron C. Wallace, Todd R. Johnson
2015	J	`jnl`	Reports of the AAAI 2014 Conference Workshops. AI Mag. Stefano V. Albrecht, André da Motta Salles Barreto, Darius Braziunas, David L. Buckeridge, Heriberto Cuayáhuitl, Nina Dethlefs, Markus Endres, Amir-massoud Farahmand, Mark Fox, Lutz Frommberger, Sam Ganzfried, Yolanda Gil, Sébastien Guillet, Lawrence E. Hunter, Arnav Jhala, Kristian Kersting, George Dimitri Konidaris, Freddy Lécué, Sheila A. McIlraith, Sriraam Natarajan, Zeinab Noorian, David Poole, Rémi Ronfard, Alessandro Saffiotti, Arash Shaban-Nejad, Biplav Srivastava, Gerald Tesauro, Rosario Uceda-Sosa, Guy Van den Broeck, Martijn van Otterlo, Byron C. Wallace, Paul Weng, Jenna Wiens, Jie Zhang
2015	—	`conf`	Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment. ACL (1) Byron C. Wallace, Do Kook Choe, Eugene Charniak
2015	—	`conf`	What Predicts Media Coverage of Health Science Articles? AAAI Workshop: WWW and Public Health Intelligence Byron C. Wallace, Michael J. Paul, Noémie Elhadad
2014	J	`jnl`	A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews. J. Am. Medical Informatics Assoc. Byron C. Wallace, Michael J. Paul, Urmimala Sarkar, Thomas A. Trikalinos, Mark Dredze
2014	—	`conf`	Automating risk of bias assessment for clinical trials. BCB Iain James Marshall, Joël Kuiper, Byron C. Wallace
2014	B	`conf`	Can Cognitive Scientists Help Computers Recognize Irony? CogSci Byron C. Wallace, Laura Kertz
2014	A*	`conf`	Discovering Better AAAI Keywords via Clustering with Community-Sourced Constraints. AAAI Kelly Moran, Byron C. Wallace, Carla E. Brodley
2014	J	`jnl`	Graph-Sparse LDA: A Topic Model with Structured Sparsity. CoRR Finale Doshi-Velez, Byron C. Wallace, Ryan P. Adams
2014	—	`conf`	Humans Require Context to Infer Ironic Intent (so Computers Probably do, too). ACL (2) Byron C. Wallace, Do Kook Choe, Laura Kertz, Eugene Charniak
2014	A*	`conf`	Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model. AAAI Byron C. Wallace, Issa J. Dahabreh, Thomas A. Trikalinos, Michael Barton Laws, Ira B. Wilson, Eugene Charniak
2014	J	`jnl`	Improving class probability estimates for imbalanced data. Knowl. Inf. Syst. Byron C. Wallace, Issa J. Dahabreh
2014	—	`ed.`	Modern Artificial Intelligence for Health Analytics, Papers from the 2014 AAAI Workshop, Québec City, Québec, Canada, July 27, 2014 AAAI Workshop: Modern Artificial Intelligence for Health Analytics Finale Doshi-Velez, David C. Kale, Byron C. Wallace, Jenna Wiens
2014	—	`conf`	Organizers. AAAI Workshop: Modern Artificial Intelligence for Health Analytics Byron C. Wallace
2014	—	`conf`	Preface. AAAI Workshop: Modern Artificial Intelligence for Health Analytics Finale Doshi-Velez, David C. Kale, Byron C. Wallace, Jenna Wiens
2014	—	`conf`	Spá: A Web-Based Viewer for Text Mining in Evidence Based Medicine. ECML/PKDD (3) Joël Kuiper, Iain James Marshall, Byron C. Wallace, Morris A. Swertz
2013	A*	`conf`	A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication. EMNLP Byron C. Wallace, Thomas A. Trikalinos, Michael Barton Laws, Ira B. Wilson, Eugene Charniak
2012	J	`jnl`	Challenges and Opportunities in Applied Machine Learning. AI Mag. Carla E. Brodley, Umaa Rebbapragada, Kevin Small, Byron C. Wallace
2012	A*	`conf`	Class Probability Estimates are Unreliable for Imbalanced Data (and How to Fix Them). ICDM Byron C. Wallace, Issa J. Dahabreh
2012	—	`conf`	Deploying an interactive machine learning system in an evidence-based practice center: abstrackr. IHI Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos
2012	—	`conf`	Multiple Narrative Disentanglement: Unraveling Infinite Jest. HLT-NAACL Byron C. Wallace
2011	A*	`conf`	Class Imbalance, Redux. ICDM Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos
2011	A*	`conf`	The Constrained Weight Space SVM: Learning with Ranked Features. ICML Kevin Small, Byron C. Wallace, Carla E. Brodley, Thomas A. Trikalinos
2011	A	`conf`	Who Should Label What? Instance Allocation in Multiple Expert Active Learning. SDM Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos
2010	A*	`conf`	Active learning for biomedical citation screening. KDD Byron C. Wallace, Kevin Small, Carla E. Brodley, Thomas A. Trikalinos
2010	—	`conf`	Modeling annotation time to reduce workload in comparative effectiveness reviews. IHI Byron C. Wallace, Kevin Small, Carla E. Brodley, Joseph Lau, Thomas A. Trikalinos
2010	J	`jnl`	Semi-automated screening of biomedical citations for systematic reviews. BMC Bioinform. Byron C. Wallace, Thomas A. Trikalinos, Joseph Lau, Carla E. Brodley, Christopher H. Schmid