Wallace, Byron C

23 publications

CHIL 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

NeurIPS 2025 Do Automatic Factuality Metrics Measure Factuality? a Critical Evaluation Sanjana Ramprasad, Byron C Wallace

NeurIPS 2025 Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models Chantal Shaib, Vinith Menon Suriyakumar, Byron C Wallace, Marzyeh Ghassemi

ICLR 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, Arnab Sen Sharma, Francesca Lucchetti, Nikhil Prakash, Carla E. Brodley, Arjun Guha, Jonathan Bell, Byron C Wallace, David Bau

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

ICLR 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 Li, Arnab Sen Sharma, Aaron Mueller, Byron C Wallace, David Bau

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

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

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

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

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

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

AAAI 2018 An Interpretable Joint Graphical Model for Fact-Checking from Crowds An T. Nguyen, Aditya Kharosekar, Matthew Lease, Byron C. Wallace

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

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

MLJ 2016 Editorial: Special Issue on Machine Learning for Health and Medicine Jenna Wiens, Byron C. Wallace

JMLR 2016 Extracting PICO Sentences from Clinical Trial Reports Using Supervised Distant Supervision Byron C. Wallace, Joël Kuiper, Aakash Sharma, Mingxi Zhu, Iain J. Marshall

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

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

AAAI 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

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

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