Modeling annotation time to reduce workload in comparative effectiveness reviews. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Joseph Lau; Thomas A. Trikalinos (IHI, 2010)

Active learning for biomedical citation screening. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Thomas A. Trikalinos (KDD, 2010)

Semi-automated screening of biomedical citations for systematic reviews. - Byron C. Wallace; Thomas A. Trikalinos; Joseph Lau; Carla E. Brodley; Christopher H. Schmid (BMC Bioinform., 2010)

Class Imbalance, Redux. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Thomas A. Trikalinos (ICDM, 2011)

The Constrained Weight Space SVM: Learning with Ranked Features. - Kevin Small; Byron C. Wallace; Carla E. Brodley; Thomas A. Trikalinos (ICML, 2011)

Who Should Label What? Instance Allocation in Multiple Expert Active Learning. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Thomas A. Trikalinos (SDM, 2011)

Class Probability Estimates are Unreliable for Imbalanced Data (and How to Fix Them). - Byron C. Wallace; Issa J. Dahabreh (ICDM, 2012)

Deploying an interactive machine learning system in an evidence-based practice center: abstrackr. - Byron C. Wallace; Kevin Small; Carla E. Brodley; Joseph Lau; Thomas A. Trikalinos (IHI, 2012)

Multiple Narrative Disentanglement: Unraveling Infinite Jest. - Byron C. Wallace (HLT-NAACL, 2012)

Challenges and Opportunities in Applied Machine Learning. - Carla E. Brodley; Umaa Rebbapragada; Kevin Small; Byron C. Wallace (AI Mag., 2012)

A Generative Joint, Additive, Sequential Model of Topics and Speech Acts in Patient-Doctor Communication. - Byron C. Wallace; Thomas A. Trikalinos; Michael Barton Laws; Ira B. Wilson; Eugene Charniak (EMNLP, 2013)

Preface. - Finale Doshi-Velez; David C. Kale; Byron C. Wallace; Jenna Wiens (AAAI Workshop: Modern Artificial Intelligence for Health Analytics, 2014)

Discovering Better AAAI Keywords via Clustering with Community-Sourced Constraints. - Kelly Moran; Byron C. Wallace; Carla E. Brodley (AAAI, 2014)

Organizers. - Byron C. Wallace (AAAI Workshop: Modern Artificial Intelligence for Health Analytics, 2014)

Identifying Differences in Physician Communication Styles with a Log-Linear Transition Component Model. - Byron C. Wallace; Issa J. Dahabreh; Thomas A. Trikalinos; Michael Barton Laws; Ira B. Wilson; Eugene Charniak (AAAI, 2014)

Humans Require Context to Infer Ironic Intent (so Computers Probably do, too). - Byron C. Wallace; Do Kook Choe; Laura Kertz; Eugene Charniak (ACL (2), 2014)

Can Cognitive Scientists Help Computers Recognize Irony? - Byron C. Wallace; Laura Kertz (CogSci, 2014)

Spá: A Web-Based Viewer for Text Mining in Evidence Based Medicine. - Joël Kuiper; Iain James Marshall; Byron C. Wallace; Morris A. Swertz (ECML/PKDD (3), 2014)

A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews. - Byron C. Wallace; Michael J. Paul; Urmimala Sarkar; Thomas A. Trikalinos; Mark Dredze (J. Am. Medical Informatics Assoc., 2014)

Improving class probability estimates for imbalanced data. - Byron C. Wallace; Issa J. Dahabreh (Knowl. Inf. Syst., 2014)

Graph-Sparse LDA: A Topic Model with Structured Sparsity. - Finale Doshi-Velez; Byron C. Wallace; Ryan P. Adams (AAAI, 2015)

What Predicts Media Coverage of Health Science Articles? - Byron C. Wallace; Michael J. Paul; Noémie Elhadad (AAAI Workshop: WWW and Public Health Intelligence, 2015)

Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment. - Byron C. Wallace; Do Kook Choe; Eugene Charniak (ACL (1), 2015)

Improving Retrieval of PubMed Articles Using the TopicalMeSH Representation. - Zhiguo Yu; Elmer V. Bernstam; Trevor Cohen; Byron C. Wallace; Todd R. Johnson (AMIA, 2015)

Combining Crowd and Expert Labels Using Decision Theoretic Active Learning. - An Thanh Nguyen 001; Byron C. Wallace; Matthew Lease (HCOMP, 2015)

Healthcare Data Analytics Challenge. - Zhiguo Yu; Byron C. Wallace; Todd R. Johnson (ICHI, 2015)

Reports of the AAAI 2014 Conference Workshops. - 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; et al. (AI Mag., 2015)

Computational irony: A survey and new perspectives. - Byron C. Wallace (Artif. Intell. Rev., 2015)

Automating Risk of Bias Assessment for Clinical Trials. - Iain James Marshall; Joël Kuiper; Byron C. Wallace (IEEE J. Biomed. Health Informatics, 2015)

Leveraging coreference to identify arms in medical abstracts: An experimental study. - Elisa Ferracane; Iain James Marshall; Byron C. Wallace; Katrin Erk (Louhi@EMNLP, 2016)

Retrofitting Word Vectors of MeSH Terms to Improve Semantic Similarity Measures. - Zhiguo Yu; Trevor Cohen; Byron C. Wallace; Elmer V. Bernstam; Todd R. Johnson (Louhi@EMNLP, 2016)

Automated Verification of Phenotypes using PubMed. - Ryan Bridges; Jette Henderson; Joyce C. Ho; Byron C. Wallace; Joydeep Ghosh (BCB, 2016)

Modelling Context with User Embeddings for Sarcasm Detection in Social Media. - Silvio Amir; Byron C. Wallace; Hao Lyu; Paula Carvalho 001; Mário J. Silva (CoNLL, 2016)

Rationale-Augmented Convolutional Neural Networks for Text Classification. - Ye Zhang; Iain James Marshall; Byron C. Wallace (EMNLP, 2016)

Probabilistic Modeling for Crowdsourcing Partially-Subjective Ratings. - An Thanh Nguyen 001; Matthew Halpern; Byron C. Wallace; Matthew Lease (HCOMP, 2016)

Using Electronic Medical Records and Physician Data to Improve Information Retrieval for Evidence-Based Care. - Mengqi Jin; Hongli Li; Christopher H. Schmid; Byron C. Wallace (ICHI, 2016)

MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification. - Ye Zhang; Stephen Roller; Byron C. Wallace (HLT-NAACL, 2016)

A Correlated Worker Model for Grouped, Imbalanced and Multitask Data. - An T. Nguyen 001; Byron C. Wallace; Matthew Lease (UAI, 2016)

Reports of the 2016 AAAI Workshop Program. - Stefano V. Albrecht; Bruno Bouchard 001; John S. Brownstein; David L. Buckeridge; Cornelia Caragea; Kevin M. Carter 001; Adnan Darwiche; Blaz Fortuna; Yannick Francillette; Sébastien Gaboury; C. Lee Giles; Marko Grobelnik; et al. (AI Mag., 2016)

Crowdsourcing Information Extraction for Biomedical Systematic Reviews. - Yalin Sun; Pengxiang Cheng 001; Shengwei Wang; Hao Lyu; Matthew Lease; Iain James Marshall; Byron C. Wallace (CoRR, 2016)

Neural Information Retrieval: A Literature Review. - 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 001; et al. (CoRR, 2016)

Active Discriminative Word Embedding Learning. - Ye Zhang; Byron C. Wallace (CoRR, 2016)

RobotReviewer: evaluation of a system for automatically assessing bias in clinical trials. - Iain James Marshall; Joël Kuiper; Byron C. Wallace (J. Am. Medical Informatics Assoc., 2016)

Improving the utility of MeSH® terms using the TopicalMeSH representation. - Zhiguo Yu; Elmer V. Bernstam; Trevor Cohen; Byron C. Wallace; Todd R. Johnson (J. Biomed. Informatics, 2016)

Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision. - Byron C. Wallace; Joël Kuiper; Aakash Sharma; Mingxi (Brian) Zhu; Iain James Marshall (J. Mach. Learn. Res., 2016)

Editorial: special issue on machine learning for health and medicine. - Jenna Wiens; Byron C. Wallace (Mach. Learn., 2016)

Active Discriminative Text Representation Learning. - Ye Zhang; Matthew Lease; Byron C. Wallace (AAAI, 2017)

Automating Biomedical Evidence Synthesis: RobotReviewer. - Iain James Marshall; Joël Kuiper; Edward Banner; Byron C. Wallace (ACL (System Demonstrations), 2017)

Aggregating and Predicting Sequence Labels from Crowd Annotations. - An Thanh Nguyen 001; Byron C. Wallace; Junyi Jessy Li; Ani Nenkova; Matthew Lease (ACL (1), 2017)

Exploiting Domain Knowledge via Grouped Weight Sharing with Application to Text Categorization. - Ye Zhang; Matthew Lease; Byron C. Wallace (ACL (2), 2017)

Detecting Twitter posts with Adverse Drug Reactions using Convolutional Neural Networks. - Sarthak Jain; Xun Peng; Byron C. Wallace (SMM4H@AMIA, 2017)

A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation. - Gaurav Singh 001; Iain James Marshall; James Thomas 001; John Shawe-Taylor; Byron C. Wallace (CIKM, 2017)

Identifying Diagnostic Test Accuracy Publications using a Deep Model. - Gaurav Singh 001; Iain James Marshall; James Thomas 001; Byron C. Wallace (CLEF (Working Notes), 2017)

PheKnow-Cloud: A Tool for Evaluating High-Throughput Phenotype Candidates using Online Medical Literature. - Jette Henderson; Ryan Bridges; Joyce C. Ho; Byron C. Wallace; Joydeep Ghosh (CRI, 2017)

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification. - Ye Zhang; Byron C. Wallace (IJCNLP(1), 2017)

Retrofitting Concept Vector Representations of Medical Concepts to Improve Estimates of Semantic Similarity and Relatedness. - Zhiguo Yu; Byron C. Wallace; Todd R. Johnson; Trevor Cohen (MedInfo, 2017)

Quantifying Mental Health from Social Media with Neural User Embeddings. - Silvio Amir; Glen Coppersmith; Paula Carvalho 001; Mário J. Silva; Byron C. Wallace (MLHC, 2017)

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence. - Monica Anderson 001; 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; et al. (AI Mag., 2017)

Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach. - Byron C. Wallace; Anna Noel-Storr; Iain James Marshall; Aaron M. Cohen; Neil R. Smalheiser; James Thomas 001 (J. Am. Medical Informatics Assoc., 2017)

An Interpretable Joint Graphical Model for Fact-Checking From Crowds. - An T. Nguyen 001; Aditya Kharosekar; Matthew Lease; Byron C. Wallace (AAAI, 2018)

A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature. - Benjamin E. Nye; Junyi Jessy Li; Roma Patel; Yinfei Yang; Iain James Marshall; Ani Nenkova; Byron C. Wallace (ACL (1), 2018)

Learning Disentangled Representations of Texts with Application to Biomedical Abstracts. - Sarthak Jain; Edward Banner; Jan-Willem van de Meent; Iain James Marshall; Byron C. Wallace (EMNLP, 2018)

Structured Multi-Label Biomedical Text Tagging via Attentive Neural Tree Decoding. - Gaurav Singh 001; James Thomas 001; Iain James Marshall; John Shawe-Taylor; Byron C. Wallace (EMNLP, 2018)

Syntactic Patterns Improve Information Extraction for Medical Search. - Roma Patel; Yinfei Yang; Iain James Marshall; Ani Nenkova; Byron C. Wallace (NAACL-HLT (2), 2018)

Automating Biomedical Evidence Synthesis: Recent Work and Directions Forward. - Byron C. Wallace (BIRNDL@SIGIR, 2018)

Believe it or not: Designing a Human-AI Partnership for Mixed-Initiative Fact-Checking. - An T. Nguyen 001; Aditya Kharosekar; Saumyaa Krishnan; Siddhesh Krishnan; Elizabeth Tate; Byron C. Wallace; Matthew Lease (UIST, 2018)

How transferable are the datasets collected by active learners? - David Lowell; Zachary C. Lipton; Byron C. Wallace (CoRR, 2018)

Structured Representations for Reviews: Aspect-Based Variational Hidden Factor Models. - Babak Esmaeili 001; Hongyi Huang; Byron C. Wallace; Jan-Willem van de Meent (CoRR, 2018)

Neural information retrieval: at the end of the early years. - 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; et al. (Inf. Retr. J., 2018)

Structured Neural Topic Models for Reviews. - Babak Esmaeili 001; Hongyi Huang; Byron C. Wallace; Jan-Willem van de Meent (AISTATS, 2019)

Practical Obstacles to Deploying Active Learning. - David Lowell; Zachary C. Lipton; Byron C. Wallace (EMNLP/IJCNLP (1), 2019)

What Does the Evidence Say? Models to Help Make Sense of the Biomedical Literature. - Byron C. Wallace (IJCAI, 2019)

Explainable modeling of annotations in crowdsourcing. - An T. Nguyen 001; Matthew Lease; Byron C. Wallace (IUI, 2019)

Mash: software tools for developing interactive and transparent machine learning systems. - An Thanh Nguyen 001; Matt Lease; Byron C. Wallace (IUI Workshops, 2019)

Are Online Reviews of Physicians Biased Against Female Providers? - Avijit Thawani; Michael J. Paul; Urmimala Sarkar; Byron C. Wallace (MLHC, 2019)

Attention is not Explanation. - Sarthak Jain; Byron C. Wallace (NAACL-HLT (1), 2019)

Inferring Which Medical Treatments Work from Reports of Clinical Trials. - Eric Lehman; Jay DeYoung; Regina Barzilay; Byron C. Wallace (NAACL-HLT (1), 2019)

Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction. - Yinfei Yang; Oshin Agarwal; Chris Tar; Byron C. Wallace; Ani Nenkova (NAACL-HLT (1), 2019)

An Analysis of Attention over Clinical Notes for Predictive Tasks. - Sarthak Jain; Ramin Mohammadi; Byron C. Wallace (CoRR, 2019)

Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data. - Ramin Mohammadi; Sarthak Jain; Stephen Agboola; Ramya Palacholla; Sagar V. Kamarthi; Byron C. Wallace (CoRR, 2019)

Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study. - Frank Soboczenski; Thomas A. Trikalinos; Joël Kuiper; Randolph G. Bias; Byron C. Wallace; Iain James Marshall (BMC Medical Informatics Decis. Mak., 2019)

ERASER: A Benchmark to Evaluate Rationalized NLP Models. - Jay DeYoung; Sarthak Jain; Nazneen Fatema Rajani; Eric Lehman; Caiming Xiong; Richard Socher; Byron C. Wallace (ACL, 2020)

Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. - Xiaochuang Han; Byron C. Wallace; Yulia Tsvetkov (ACL, 2020)

Learning to Faithfully Rationalize by Construction. - Sarthak Jain; Sarah Wiegreffe; Yuval Pinter; Byron C. Wallace (ACL, 2020)

Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time. - Benjamin E. Nye; Ani Nenkova; Iain James Marshall; Byron C. Wallace (ACL (demo), 2020)

Semi-Automating Knowledge Base Construction for Cancer Genetics. - Somin Wadhwa; Kanhua Yin; Kevin S. Hughes; Byron C. Wallace (AKBC, 2020)

Towards a Computational Framework for Automating Substance Use Counseling with Virtual Agents. - Stefan Olafsson; Byron C. Wallace; Timothy W. Bickmore (AAMAS, 2020)

Evidence Inference 2.0: More Data, Better Models. - Jay DeYoung; Eric Lehman; Benjamin E. Nye; Iain James Marshall; Byron C. Wallace (BioNLP, 2020)

MMiDaS-AE: multi-modal missing data aware stacked autoencoder for biomedical abstract screening. - Eric Wonhee Lee; Byron C. Wallace; Karla I. Galaviz; Joyce C. Ho (CHIL, 2020)

Query-Focused EHR Summarization to Aid Imaging Diagnosis. - Denis Jered McInerney; Borna Dabiri; Anne-Sophie Touret; Geoffrey S. Young; Jan-Willem van de Meent; Byron C. Wallace (MLHC, 2020)

Entity-Switched Datasets: An Approach to Auditing the In-Domain Robustness of Named Entity Recognition Models. - Oshin Agarwal; Yinfei Yang; Byron C. Wallace; Ani Nenkova (CoRR, 2020)

Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization. - Byron C. Wallace; Sayantan Saha; Frank Soboczenski; Iain James Marshall (CoRR, 2020)

Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations. - Benjamin E. Nye; Jay DeYoung; Eric Lehman; Ani Nenkova; Iain James Marshall; Byron C. Wallace (CoRR, 2020)

Trialstreamer: A living, automatically updated database of clinical trial reports. - Iain James Marshall; Benjamin E. Nye; Joël Kuiper; Anna Noel-Storr; Rachel Marshall; Rory Maclean; Frank Soboczenski; Ani Nenkova; James Thomas 001; Byron C. Wallace (J. Am. Medical Informatics Assoc., 2020)

Biomedical Interpretable Entity Representations. - Diego Garcia-Olano; Yasumasa Onoe; Ioana Baldini; Joydeep Ghosh; Byron C. Wallace; Kush R. Varshney (ACL/IJCNLP (Findings), 2021)

Identifying Communication Behavior Indicators in Secure Messages. - Dezon K. Finch; Lina Bouayad; Timothy P. Hogan; Sarah L. Cutrona; Byron C. Wallace; Stephen L. Luther; Bridget Smith; Stephanie L. Shimada (AMIA, 2021)

Applying State of the Art Language Models to Enable Better Clinical Natural Language Processing. - Bryan D. Steitz; Emily Alsentzer; Hoo Chang Shin; Byron C. Wallace; Adam Wright (AMIA, 2021)

Unsupervised Data Augmentation with Naive Augmentation and without Unlabeled Data. - David Lowell; Brian E. Howard; Zachary C. Lipton; Byron C. Wallace (EMNLP (1), 2021)

Disentangling Representations of Text by Masking Transformers. - Xiongyi Zhang; Jan-Willem van de Meent; Byron C. Wallace (EMNLP (1), 2021)

On the Impact of Random Seeds on the Fairness of Clinical Classifiers. - Silvio Amir; Jan-Willem van de Meent; Byron C. Wallace (NAACL-HLT, 2021)

Paragraph-level Simplification of Medical Texts. - Ashwin Devaraj; Iain James Marshall; Byron C. Wallace; Junyi Jessy Li (NAACL-HLT, 2021)

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? - Eric Lehman; Sarthak Jain; Karl Pichotta; Yoav Goldberg; Byron C. Wallace (NAACL-HLT, 2021)

An Empirical Comparison of Instance Attribution Methods for NLP. - Pouya Pezeshkpour; Sarthak Jain; Byron C. Wallace; Sameer Singh 001 (NAACL-HLT, 2021)

Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve. - Oshin Agarwal; Yinfei Yang; Byron C. Wallace; Ani Nenkova (Comput. Linguistics, 2021)

What Would it Take to get Biomedical QA Systems into Practice? - Gregory Kell; Iain James Marshall; Byron C. Wallace; André Jaun (CoRR, 2021)

Kronecker Factorization for Preventing Catastrophic Forgetting in Large-scale Medical Entity Linking. - Denis Jered McInerney; Luyang Kong; Kristjan Arumae; Byron C. Wallace; Parminder Bhatia (CoRR, 2021)

Evaluating Factuality in Text Simplification. - Ashwin Devaraj; William Sheffield; Byron C. Wallace; Junyi Jessy Li (ACL (1), 2022)

Combining Feature and Instance Attribution to Detect Artifacts. - Pouya Pezeshkpour; Sarthak Jain; Sameer Singh 001; Byron C. Wallace (ACL (Findings), 2022)

Intermediate Entity-based Sparse Interpretable Representation Learning. - Diego Garcia-Olano; Yasumasa Onoe; Joydeep Ghosh; Byron C. Wallace (BlackboxNLP@EMNLP, 2022)

Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews. - Lucy Lu Wang; Jay DeYoung; Byron C. Wallace (SDP@COLING, 2022)

Influence Functions for Sequence Tagging Models. - Sarthak Jain; Varun Manjunatha; Byron C. Wallace; Ani Nenkova (EMNLP (Findings), 2022)

That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data. - Denis Jered McInerney; Geoffrey S. Young; Jan-Willem van de Meent; Byron C. Wallace (EMNLP, 2022)

PHEE: A Dataset for Pharmacovigilance Event Extraction from Text. - Zhaoyue Sun; Jiazheng Li 002; Gabriele Pergola; Byron C. Wallace; Bino John; Nigel Greene; Joseph Kim; Yulan He 001 (EMNLP, 2022)

Self-Repetition in Abstractive Neural Summarizers. - Nikita Salkar; Thomas A. Trikalinos; Byron C. Wallace; Ani Nenkova (AACL/IJCNLP (2), 2022)

Learning to Ask Like a Physician. - 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; et al. (CoRR, 2022)

Summarizing, Simplifying, and Synthesizing Medical Evidence using GPT-3 (with Varying Success). - Chantal Shaib; Millicent L. Li; Sebastian Joseph; Iain James Marshall; Junyi Jessy Li; Byron C. Wallace (ACL (2), 2023)

Revisiting Relation Extraction in the era of Large Language Models. - Somin Wadhwa; Silvio Amir; Byron C. Wallace (ACL (1), 2023)

Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations. - Lucy Lu Wang; Yulia Otmakhova 001; Jay DeYoung; Thinh Hung Truong; Bailey Kuehl; Erin Bransom; Byron C. Wallace (ACL (1), 2023)

Future Lens: Anticipating Subsequent Tokens from a Single Hidden State. - Koyena Pal; Jiuding Sun; Andrew Yuan; Byron C. Wallace; David Bau (CoNLL, 2023)

NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching Summarization. - Junru Lu; Jiazheng Li 002; Byron C. Wallace; Yulan He 001; Gabriele Pergola (EACL (Findings), 2023)

Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges. - Sanjana Ramprasad; Denis Jered McInerney; Iain James Marshall; Byron C. Wallace (EACL (System Demonstrations), 2023)

RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media. - Somin Wadhwa; Vivek Khetan; Silvio Amir; Byron C. Wallace (EACL (Findings), 2023)

How Many and Which Training Points Would Need to be Removed to Flip this Prediction? - Jinghan Yang; Sarthak Jain; Byron C. Wallace (EACL, 2023)

Multilingual Simplification of Medical Texts. - Sebastian Joseph; Kathryn Kazanas; Keziah Reina; Vishnesh J. Ramanathan; Wei Xu 004; Byron C. Wallace; Junyi Jessy Li (EMNLP, 2023)

USB: A Unified Summarization Benchmark Across Tasks and Domains. - Kundan Krishna; Prakhar Gupta; Sanjana Ramprasad; Byron C. Wallace; Jeffrey P. Bigham; Zachary C. Lipton (EMNLP (Findings), 2023)

CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models. - Denis Jered McInerney; Geoffrey S. Young; Jan-Willem van de Meent; Byron C. Wallace (EMNLP (Findings), 2023)

Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews. - Hye Sun Yun; Iain James Marshall; Thomas A. Trikalinos; Byron C. Wallace (EMNLP, 2023)

Accomodating User Expressivity while Maintaining Safety for a Virtual Alcohol Misuse Counselor. - Stefan Olafsson; Paola Pedrelli; Byron C. Wallace; Timothy W. Bickmore (IVA, 2023)

Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs. - Somin Wadhwa; Jay DeYoung; Benjamin E. Nye; Silvio Amir; Byron C. Wallace (MLHC, 2023)

SemEval-2023 Task 8: Causal Medical Claim Identification and Related PIO Frame Extraction from Social Media Posts. - Vivek Khetan; Somin Wadhwa; Byron C. Wallace; Silvio Amir (SemEval@ACL, 2023)

Do Multi-Document Summarization Models Synthesize? - Jay DeYoung; Stephanie C. Martinez; Iain James Marshall; Byron C. Wallace (CoRR, 2023)

Leveraging Generative AI for Clinical Evidence Summarization Needs to Achieve Trustworthiness. - Gongbo Zhang; Qiao Jin 001; Denis Jered McInerney; Yong Chen 016; Fei Wang 001; Curtis L. Cole; Qian Yang 004; Yanshan Wang; Bradley A. Malin; Mor Peleg; Byron C. Wallace; Zhiyong Lu; et al. (CoRR, 2023)

FactPICO: Factuality Evaluation for Plain Language Summarization of Medical Evidence. - Sebastian Joseph; Lily Chen; Jan Trienes; Hannah Louisa Göke; Monika Coers; Wei Xu 004; Byron C. Wallace; Junyi Jessy Li (ACL (1), 2024)

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. - Jan Trienes; Sebastian Joseph; Jörg Schlötterer; Christin Seifert; Kyle Lo; Wei Xu 004; Byron C. Wallace; Junyi Jessy Li (ACL (1), 2024)

Open (Clinical) LLMs are Sensitive to Instruction Phrasings. - Alberto Mario Ceballos-Arroyo; Monica Munnangi; Jiuding Sun; Karen Y. C. Zhang; Denis Jered McInerney; Byron C. Wallace; Silvio Amir (BioNLP@ACL, 2024)

Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges. - Hiba Ahsan; Denis Jered McInerney; Jisoo Kim; Christopher Potter; Geoffrey S. Young; Silvio Amir; Byron C. Wallace (CHIL, 2024)

Evaluating the Factuality of Zero-shot Summarizers Across Varied Domains. - Sanjana Ramprasad; Kundan Krishna; Zachary C. Lipton; Byron C. Wallace (EACL (2), 2024)

Leveraging ChatGPT in Pharmacovigilance Event Extraction: An Empirical Study. - Zhaoyue Sun; Gabriele Pergola; Byron C. Wallace; Yulan He 001 (EACL (2), 2024)

Token Erasure as a Footprint of Implicit Vocabulary Items in LLMs. - Sheridan Feucht; David Atkinson; Byron C. Wallace; David Bau (EMNLP, 2024)

Detection and Measurement of Syntactic Templates in Generated Text. - Chantal Shaib; Yanai Elazar; Junyi Jessy Li; Byron C. Wallace (EMNLP, 2024)

Investigating Mysteries of CoT-Augmented Distillation. - Somin Wadhwa; Silvio Amir; Byron C. Wallace (EMNLP, 2024)

Learning from Natural Language Explanations for Generalizable Entity Matching. - Somin Wadhwa; Adit Krishnan; Runhui Wang; Byron C. Wallace; Luyang Kong (EMNLP, 2024)

Evaluating the Zero-shot Robustness of Instruction-tuned Language Models. - Jiuding Sun; Chantal Shaib; Byron C. Wallace (ICLR, 2024)

Function Vectors in Large Language Models. - Eric Todd; Millicent L. Li; Arnab Sen Sharma; Aaron Mueller; Byron C. Wallace; David Bau (ICLR, 2024)

Automatically Extracting Numerical Results from Randomized Controlled Trials with Large Language Models. - Hye Sun Yun; David Pogrebitskiy; Iain James Marshall; Byron C. Wallace (MLHC, 2024)

Towards Reducing Diagnostic Errors with Interpretable Risk Prediction. - Denis Jered McInerney; William Dickinson; Lucy C. Flynn; Andrea Young; Geoffrey S. Young; Jan-Willem van de Meent; Byron C. Wallace (NAACL-HLT, 2024)

On-the-fly Definition Augmentation of LLMs for Biomedical NER. - Monica Munnangi; Sergey Feldman; Byron C. Wallace; Silvio Amir; Tom Hope; Aakanksha Naik (NAACL-HLT, 2024)

GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence. - Kundan Krishna; Sanjana Ramprasad; Prakhar Gupta; Byron C. Wallace; Zachary C. Lipton; Jeffrey P. Bigham (CoRR, 2024)

How Much Annotation is Needed to Compare Summarization Models? - Chantal Shaib; Joe Barrow; Alexa F. Siu; Byron C. Wallace; Ani Nenkova (CoRR, 2024)

Standardizing the Measurement of Text Diversity: A Tool and a Comparative Analysis of Scores. - Chantal Shaib; Joe Barrow; Jiuding Sun; Alexa F. Siu; Byron C. Wallace; Ani Nenkova (CoRR, 2024)

Learning from Natural Language Explanations for Generalizable Entity Matching. - Somin Wadhwa; Adit Krishnan; Runhui Wang; Byron C. Wallace; Chris Kong (CoRR, 2024)

NNsight and NDIF: Democratizing Access to Foundation Model Internals. - 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; et al. (CoRR, 2024)

Do Automatic Factuality Metrics Measure Factuality? A Critical Evaluation. - Sanjana Ramprasad; Byron C. Wallace (CoRR, 2024)

Question answering systems for health professionals at the point of care - a systematic review. - Gregory Kell; Angus Roberts; Serge Umansky; Linglong Qian; Davide Ferrari; Frank Soboczenski; Byron C. Wallace; Nikhil Patel; Iain James Marshall (J. Am. Medical Informatics Assoc., 2024)

Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness. - Gongbo Zhang; Qiao Jin 001; Denis Jered McInerney; Yong Chen 016; Fei Wang 001; Curtis L. Cole; Qian Yang 004; Yanshan Wang; Bradley A. Malin; Mor Peleg; Byron C. Wallace; Zhiyong Lu; et al. (J. Biomed. Informatics, 2024)

Do Multi-Document Summarization Models Synthesize? - Jay DeYoung; Stephanie C. Martinez; Iain James Marshall; Byron C. Wallace (Trans. Assoc. Comput. Linguistics, 2024)

Who Taught You That? Tracing Teachers in Model Distillation. - Somin Wadhwa; Chantal Shaib; Silvio Amir; Byron C. Wallace (ACL (Findings), 2025)

Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature? - Hye Sun Yun; Karen Y. C. Zhang; Ramez Kouzy; Iain James Marshall; Junyi Jessy Li; Byron C. Wallace (CHIL, 2025)

NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals. - 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; et al. (ICLR, 2025)

Elucidating Mechanisms of Demographic Bias in LLMs for Healthcare. - Hiba Ahsan; Arnab Sen Sharma; Silvio Amir; David Bau; Byron C. Wallace (CoRR, 2025)

The Dual-Route Model of Induction. - Sheridan Feucht; Eric Todd; Byron C. Wallace; David Bau (CoRR, 2025)

Decide less, communicate more: On the construct validity of end-to-end fact-checking in medicine. - Sebastian Joseph; Lily Chen; Barry Wei; Michael Mackert; Iain James Marshall; Paul Pu Liang; Ramez Kouzy; Byron C. Wallace; Junyi Jessy Li (CoRR, 2025)