| 2024 | EMNLP | Divide-or-Conquer? Which Part Should You Distill Your LLM? | Zhuofeng Wu, Richard He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang |
| 2024 | NAACL | ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger. | Jiazhao Li, Yijin Yang, Zhuofeng Wu, V. G. Vinod Vydiswaran, Chaowei Xiao |
| 2023 | ACL | Defending against Insertion-based Textual Backdoor Attacks via Attribution. | Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran |
| 2023 | EMNLP | HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings. | Zhuofeng Wu, Chaowei Xiao, V. G. Vinod Vydiswaran |
| 2022 | AMIA | Validating Complex Phenotypes: A Structured Approach for Dementia. | David A. Dorr, Nicole Gray Weiskopf, Michelle Bobo, MJ Dunne, Peijan Han, Jessica Kim, V. G. Vinod Vydiswaran |
| 2022 | COMAD | Data Science and Natural Language Processing to Extract Information in Clinical Domain. | V. G. Vinod Vydiswaran, Xinyan Zhao, Deahan Yu |
| 2022 | NAACL | IDPG: An Instance-Dependent Prompt Generation Method. | Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma |
| 2021 | AAAI | LIREx: Augmenting Language Inference with Relevant Explanations. | Xinyan Zhao, V. G. Vinod Vydiswaran |
| 2021 | COMAD | Data Science and Natural Language Processing to Extract Information from Clinical Narratives. | V. G. Vinod Vydiswaran, Xinyan Zhao, Deahan Yu |
| 2020 | EMNLP | PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions. | Jiazhao Li, Corey A. Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V. G. Vinod Vydiswaran |
| 2018 | AMIA | Feasibility of Identifying Oral Anticancer Agent Toxicity Self-Reporting and Management Advice from Clinical Notes. | Yun Jiang, V. G. Vinod Vydiswaran, Eun-Young Lee, Hyeon Joo, Anna Zheng, Marcelline R. Harris |
| 2018 | AMIA | Supervised Learning Approach to Link Prediction in FDA Adverse Event Reporting System (FAERS) Database Network. | Andy Jinseok Lee, Sunyang Fu, V. G. Vinod Vydiswaran |
| 2018 | ICWSM | "Bacon Bacon Bacon": Food-Related Tweets and Sentiment in Metro Detroit. | V. G. Vinod Vydiswaran, Daniel M. Romero, Xinyan Zhao, Deahan Yu, Iris N. Gomez-Lopez, Jin Xiu Lu, Bradley E. Iott, Ana Baylin, Philippa Clarke, Veronica J. Berrocal, Robert Goodspeed, Tiffany C. Veinot |
| 2017 | AMIA | Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding. | Yue Wang, Jian Tang, V. G. Vinod Vydiswaran, Kai Zheng, Hua Xu, Qiaozhu Mei |
| 2017 | AMIA | HyDeXT: A Hybrid De-identification and Extraction Tool for Health Text. | Xinyan Zhao, V. G. Vinod Vydiswaran |
| 2017 | IJCNLP | Identifying Usage Expression Sentences in Consumer Product Reviews. | Shibamouli Lahiri, V. G. Vinod Vydiswaran, Rada Mihalcea |
| 2015 | AMIA | Identifying Patterns Indicative of Copying/Pasting Behavior in Patient Generated Online Content. | Tera L. Reynolds, V. G. Vinod Vydiswaran, Yuting Wu, Qiaozhu Mei, David A. Hanauer, Kai Zheng |
| 2014 | AMIA | Mining Consumer Health Vocabulary from Community-Generated Text. | V. G. Vinod Vydiswaran, Qiaozhu Mei, David A. Hanauer, Kai Zheng |
| 2014 | ICWSM | User-Created Groups in Health Forums: What Makes Them Special? | V. G. Vinod Vydiswaran, Yang Liu, Kai Zheng, David A. Hanauer, Qiaozhu Mei |
| 2012 | CIKM | BiasTrust: teaching biased users about controversial topics. | V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli |
| 2012 | ECIR | Reliability Prediction of Webpages in the Medical Domain. | Parikshit Sondhi, V. G. Vinod Vydiswaran, ChengXiang Zhai |
| 2011 | KDD | Content-driven trust propagation framework. | V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth |
| 2010 | ACL | "Ask Not What Textual Entailment Can Do for You...". | Mark Sammons, V. G. Vinod Vydiswaran, Dan Roth |
| 2010 | NAACL | Textual Entailment. | Mark Sammons, Idan Szpektor, V. G. Vinod Vydiswaran |
| 2009 | ACL | A Framework for Entailed Relation Recognition. | Dan Roth, Mark Sammons, V. G. Vinod Vydiswaran |
| 2005 | COMAD | Learning to extract information from large websites using sequential models. | V. G. Vinod Vydiswaran, Sunita Sarawagi |