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ORCIDV. G. Vinod Vydiswaran
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- affiliation: University of Michigan
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2020 – today
- 2024
[c43]Zhuofeng Wu, Richard He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang:
Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP (Findings) 2024: 2572-2585- [c42]Jiazhao Li, Yijin Yang, Zhuofeng Wu, V. G. Vinod Vydiswaran, Chaowei Xiao:
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger. NAACL-HLT 2024: 2985-3004 - [i10]Zhuofeng Wu, He Bai, Aonan Zhang, Jiatao Gu, V. G. Vinod Vydiswaran, Navdeep Jaitly, Yizhe Zhang:
Divide-or-Conquer? Which Part Should You Distill Your LLM? CoRR abs/2402.15000 (2024) - 2023
- [j14]Davy Weissenbacher
, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy A. Miller, Dongfang Xu, Carol Anderson, Bo Liu, Qing Han, Jinfeng Zhang, Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Elif Ozkirimli, Ammer Ayach, Roland Roller, Stephen R. Piccolo, Peijin Han, V. G. Vinod Vydiswaran, Ramya Tekumalla, Juan M. Banda, Parsa Bagherzadeh, Sabine Bergler, João Figueira Silva, Tiago Melo Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez:
Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. Database J. Biol. Databases Curation 2023 (2023) - [j13]Anne M. Walling, Joshua M. Pevnick, Antonia V. Bennett, V. G. Vinod Vydiswaran, Christine S. Ritchie:
Dementia and electronic health record phenotypes: a scoping review of available phenotypes and opportunities for future research. J. Am. Medical Informatics Assoc. 30(7): 1333-1348 (2023) - [c41]Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran:
Defending against Insertion-based Textual Backdoor Attacks via Attribution. ACL (Findings) 2023: 8818-8833 - [c40]Quancheng Liu, Xiheng Ren, V. G. Vinod Vydiswaran:
LHS712EE at BioLaySumm 2023: Using BART and LED to summarize biomedical research articles. BioNLP@ACL 2023: 620-624 - [c39]Chi-Yun Chang, Jiaqi Li, Shivangi Kumar, V. G. Vinod Vydiswaran:
StellEllaStars at MEDIQA-Sum 2023: Exploring Transformer-Based models for Dialogue2Topic Classification. CLEF (Working Notes) 2023: 1440-1449 - [c38]Zhuofeng Wu, Chaowei Xiao, V. G. Vinod Vydiswaran:
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings. EMNLP (Findings) 2023: 2461-2476 - [i9]Jiazhao Li, Yijin Yang, Zhuofeng Wu, V. G. Vinod Vydiswaran, Chaowei Xiao:
ChatGPT as an Attack Tool: Stealthy Textual Backdoor Attack via Blackbox Generative Model Trigger. CoRR abs/2304.14475 (2023) - [i8]Jiazhao Li, Zhuofeng Wu, Wei Ping, Chaowei Xiao, V. G. Vinod Vydiswaran:
Defending against Insertion-based Textual Backdoor Attacks via Attribution. CoRR abs/2305.02394 (2023) - [i7]Zhuofeng Wu, Chaowei Xiao, V. G. Vinod Vydiswaran:
HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings. CoRR abs/2310.09720 (2023) - 2022
- [c37]David A. Dorr, Nicole Gray Weiskopf, Michelle Bobo, MJ Dunne, Peijan Han, Jessica Kim, V. G. Vinod Vydiswaran:
Validating Complex Phenotypes: A Structured Approach for Dementia. AMIA 2022 - [c36]V. G. Vinod Vydiswaran, Xinyan Zhao, Deahan Yu:
Data Science and Natural Language Processing to Extract Information in Clinical Domain. COMAD/CODS 2022: 352-353 - [c35]Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma:
IDPG: An Instance-Dependent Prompt Generation Method. NAACL-HLT 2022: 5507-5521 - [i6]Jiazhao Li, Corey A. Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V. G. Vinod Vydiswaran:
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions. CoRR abs/2204.03830 (2022) - [i5]Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma:
IDPG: An Instance-Dependent Prompt Generation Method. CoRR abs/2204.04497 (2022) - 2021
- [c34]Xinyan Zhao, V. G. Vinod Vydiswaran:
LIREx: Augmenting Language Inference with Relevant Explanations. AAAI 2021: 14532-14539 - [c33]V. G. Vinod Vydiswaran, Xinyan Zhao, Deahan Yu:
Data Science and Natural Language Processing to Extract Information from Clinical Narratives. COMAD/CODS 2021: 441-442 - 2020
- [j12]V. G. Vinod Vydiswaran, Daniel M. Romero, Xinyan Zhao, Deahan Yu, Iris N. Gomez-Lopez, Jin Xiu Lu, Bradley E. Iott, Ana Baylin, Erica C. Jansen, Philippa Clarke, Veronica J. Berrocal, Robert Goodspeed, Tiffany C. Veinot:
Uncovering the relationship between food-related discussion on Twitter and neighborhood characteristics. J. Am. Medical Informatics Assoc. 27(2): 254-264 (2020) - [c32]Jiazhao Li, Corey A. Lester, Xinyan Zhao, Yuting Ding, Yun Jiang, V. G. Vinod Vydiswaran:
PharmMT: A Neural Machine Translation Approach to Simplify Prescription Directions. EMNLP (Findings) 2020: 2785-2796 - [c31]Jiazhao Li, Adharsh Murali, Qiaozhu Mei, V. G. Vinod Vydiswaran:
Re-ranking Biomedical Literature for Precision Medicine with Pre-trained Neural Models. ICHI 2020: 1-3 - [c30]V. G. Vinod Vydiswaran, Deahan Yu, Xinyan Zhao, Ermioni Carr, Jonathan Martindale, Jingcheng Xiao, Noha Ghannam, Matteo Althoen, Alexis Castellanos, Neel Patel, Daniel Vasquez:
Identifying Medication Abuse and Adverse Effects from Tweets: University of Michigan at #SMM4H 2020. SMM4H@COLING 2020: 90-94 - [i4]Xinyan Zhao, V. G. Vinod Vydiswaran:
LIREx: Augmenting Language Inference with Relevant Explanation. CoRR abs/2012.09157 (2020)
2010 – 2019
- 2019
- [j11]V. G. Vinod Vydiswaran, Asher Strayhorn, Xinyan Zhao, Phil Robinson, Mahesh Agarwal, Erin Bagazinski, Madia Essiet, Bradley E. Iott, Hyeon Joo, PingJui Ko, Dahee Lee, Jin Xiu Lu, Jinghui Liu, Adharsh Murali, Koki Sasagawa, Tianshi Wang, Nalingna Yuan:
Hybrid bag of approaches to characterize selection criteria for cohort identification. J. Am. Medical Informatics Assoc. 26(11): 1172-1180 (2019) - [j10]V. G. Vinod Vydiswaran, Manoj Reddy:
Identifying peer experts in online health forums. BMC Medical Informatics Decis. Mak. 19-S(3): 41-49 (2019) - [j9]David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng:
Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification. BMC Medical Informatics Decis. Mak. 19-S(3): 59-69 (2019) - [j8]V. G. Vinod Vydiswaran, Yaoyun Zhang, Yanshan Wang, Hua Xu:
Special issue of BMC medical informatics and decision making on health natural language processing. BMC Medical Informatics Decis. Mak. 19-S(3): 76:1-76:3 (2019) - [c29]Xinyan Zhao, Deahan Yu, V. G. Vinod Vydiswaran:
Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation. SMM4H@ACL 2019: 62-70 - [c28]V. G. Vinod Vydiswaran, Grace Ganzel, Bryan Romas, Deahan Yu, Amy Austin, Neha Bhomia, Socheatha Chan, Stephanie Hall, Van Le, Aaron Miller, Olawunmi Oduyebo, Aulia Song, Radhika Sondhi, Danny Teng, Hao Tseng, Kim Vuong, Stephanie Zimmerman:
Towards Text Processing Pipelines to Identify Adverse Drug Events-related Tweets: University of Michigan @ SMM4H 2019 Task 1. SMM4H@ACL 2019: 107-109 - 2018
- [j7]Jean Hardy, Tiffany C. Veinot, Xiang Yan, Veronica J. Berrocal, Philippa Clarke, Robert Goodspeed, Iris N. Gomez-Lopez, Daniel M. Romero, V. G. Vinod Vydiswaran:
User acceptance of location-tracking technologies in health research: Implications for study design and data quality. J. Biomed. Informatics 79: 7-19 (2018) - [c27]Yun Jiang, V. G. Vinod Vydiswaran, Eun-Young Lee, Hyeon Joo, Anna Zheng, Marcelline R. Harris:
Feasibility of Identifying Oral Anticancer Agent Toxicity Self-Reporting and Management Advice from Clinical Notes. AMIA 2018 - [c26]Andy Jinseok Lee, Sunyang Fu, V. G. Vinod Vydiswaran:
Supervised Learning Approach to Link Prediction in FDA Adverse Event Reporting System (FAERS) Database Network. AMIA 2018 - [c25]David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng:
Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction. ICHI Workshops 2018: 66-67 - [c24]Manoj Reddy, V. G. Vinod Vydiswaran:
Towards Identifying Peer Expertise in Online Health Forums. ICHI Workshops 2018: 82-83 - [c23]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:
"Bacon Bacon Bacon": Food-Related Tweets and Sentiment in Metro Detroit. ICWSM 2018: 692-695 - [c22]Jinghui Liu, Clair A. Kronk, Wu-Chen Su, Danny T. Y. Wu, V. G. Vinod Vydiswaran:
Retrieving scientific abstracts iteratively: MedIER at TREC 2018 Precision Medicine Track. TREC 2018 - 2017
- [j6]David A. Hanauer, Danny T. Y. Wu, Lei Yang, Qiaozhu Mei, Katherine B. Murkowski-Steffy, V. G. Vinod Vydiswaran, Kai Zheng:
Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine. J. Biomed. Informatics 67: 1-10 (2017) - [c21]Yue Wang, Jian Tang, V. G. Vinod Vydiswaran, Kai Zheng, Hua Xu, Qiaozhu Mei:
Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding. AMIA 2017 - [c20]Xinyan Zhao, V. G. Vinod Vydiswaran:
HyDeXT: A Hybrid De-identification and Extraction Tool for Health Text. AMIA 2017 - [c19]Alexander Kinsora, Kate Barron, Qiaozhu Mei, V. G. Vinod Vydiswaran:
Creating a Labeled Dataset for Medical Misinformation in Health Forums. ICHI 2017: 456-461 - [c18]Shibamouli Lahiri, V. G. Vinod Vydiswaran, Rada Mihalcea:
Identifying Usage Expression Sentences in Consumer Product Reviews. IJCNLP(1) 2017: 394-403 - [c17]Tong Yin, Danny T. Y. Wu, V. G. Vinod Vydiswaran:
Retrieving documents based on gene name variations: MedIER at TREC 2017 Precision Medicine Track. TREC 2017 - 2016
- [j5]Danny T. Y. Wu, David A. Hanauer, Qiaozhu Mei, Patricia M. Clark, Lawrence C. An, Joshua Proulx, Qing T. Zeng, V. G. Vinod Vydiswaran, Kevyn Collins-Thompson, Kai Zheng:
Assessing the readability of ClinicalTrials.gov. J. Am. Medical Informatics Assoc. 23(2): 269-275 (2016) - [c16]Jian Huang, Keyang Xu, V. G. Vinod Vydiswaran:
Analyzing Multiple Medical Corpora Using Word Embedding. ICHI 2016: 527-533 - [e2]Tanmoy Chakraborty, Martin Riedl, V. G. Vinod Vydiswaran:
Proceedings of TextGraphs@NAACL-HLT 2016: the 10th Workshop on Graph-based Methods for Natural Language Processing, June 17, 2016, San Diego, California, USA. The Association for Computer Linguistics 2016, ISBN 978-1-941643-88-4 [contents] - [i3]V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Rand Waltzman, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, V. G. Vinod Vydiswaran, Qiaozhu Mei, Tim Huang:
The DARPA Twitter Bot Challenge. CoRR abs/1601.05140 (2016) - 2015
- [j4]V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli:
Overcoming bias to learn about controversial topics. J. Assoc. Inf. Sci. Technol. 66(8): 1655-1672 (2015) - [j3]Kai Zheng, V. G. Vinod Vydiswaran, Yang Liu, Yue Wang, Amber Stubbs, Özlem Uzuner, Anupama E. Gururaj, Samuel Bayer, John S. Aberdeen, Anna Rumshisky, Serguei Pakhomov, Hongfang Liu, Hua Xu:
Ease of adoption of clinical natural language processing software: An evaluation of five systems. J. Biomed. Informatics 58: S189-S196 (2015) - [c15]Tera L. Reynolds, V. G. Vinod Vydiswaran, Yuting Wu, Qiaozhu Mei, David A. Hanauer, Kai Zheng:
Identifying Patterns Indicative of Copying/Pasting Behavior in Patient Generated Online Content. AMIA 2015 - [c14]Fengmin Hu, Danny T. Y. Wu, Qiaozhu Mei, V. G. Vinod Vydiswaran:
Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track. TREC 2015 - 2014
- [c13]V. G. Vinod Vydiswaran, Qiaozhu Mei, David A. Hanauer, Kai Zheng:
Mining Consumer Health Vocabulary from Community-Generated Text. AMIA 2014 - [c12]V. G. Vinod Vydiswaran, Yang Liu, Kai Zheng, David A. Hanauer, Qiaozhu Mei:
User-Created Groups in Health Forums: What Makes Them Special? ICWSM 2014 - [e1]V. G. Vinod Vydiswaran, Amarnag Subramanya, Gabor Melli, Irina Matveeva:
Proceedings of TextGraphs@EMNLP 2014: the 9th Workshop on Graph-based Methods for Natural Language Processing, October 29, 2014, Doha, Qatar. The Association for Computer Linguistics 2014, ISBN 978-1-937284-96-1 [contents] - 2012
- [c11]V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli:
Unbiased learning of controversial topics. ASIST 2012: 1-4 - [c10]V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth, Peter Pirolli:
BiasTrust: teaching biased users about controversial topics. CIKM 2012: 1905-1909 - [c9]Parikshit Sondhi, V. G. Vinod Vydiswaran, ChengXiang Zhai:
Reliability Prediction of Webpages in the Medical Domain. ECIR 2012: 219-231 - 2011
- [c8]V. G. Vinod Vydiswaran, Jeroen van den Eijkhof, Raman Chandrasekar, Ann Paradiso, Jim St. George:
News Sync: Enabling scenario-based news exploration. ASIST 2011: 1-10 - [c7]V. G. Vinod Vydiswaran, ChengXiang Zhai, Dan Roth:
Content-driven trust propagation framework. KDD 2011: 974-982 - 2010
- [c6]Mark Sammons, V. G. Vinod Vydiswaran, Dan Roth:
"Ask Not What Textual Entailment Can Do for You...". ACL 2010: 1199-1208 - [c5]Mark Sammons, Idan Szpektor, V. G. Vinod Vydiswaran:
Textual Entailment. NAACL (Tutorial Abstracts) 2010: 21-24
2000 – 2009
- 2009
- [c4]Dan Roth, Mark Sammons, V. G. Vinod Vydiswaran:
A Framework for Entailed Relation Recognition. ACL/IJCNLP (2) 2009: 57-60 - [c3]Yuanhua Lv, Jing He, V. G. Vinod Vydiswaran, Kavita Ganesan, ChengXiang Zhai:
A Study of Term Proximity and Document Weighting Normalization in Pseudo Relevance Feedback--UIUC at TREC 2009 Million Query Track. TREC 2009 - [c2]V. G. Vinod Vydiswaran, Kavita Ganesan, Yuanhua Lv, Jing He, ChengXiang Zhai:
Finding Related Entities by Retrieving Relations: UIUC at TREC 2009 Entity Track. TREC 2009 - [i2]Mark Sammons, V. G. Vinod Vydiswaran, Tim Vieira, Nikhil Johri, Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Gourab Kundu, Yuancheng Tu, Kevin Small, Joshua S. Rule, Quang Do, Dan Roth:
Relation Alignment for Textual Entailment Recognition. TAC 2009 - 2008
- [i1]Hyun Duk Kim, Dae Hoon Park, V. G. Vinod Vydiswaran, ChengXiang Zhai:
Opinion Summarization Using Entity Features and Probabilistic Sentence Coherence Optimization: UIUC at TAC 2008 Opinion Summarization Pilot. TAC 2008 - 2005
- [c1]V. G. Vinod Vydiswaran, Sunita Sarawagi:
Learning to extract information from large websites using sequential models. COMAD 2005: 3-14 - 2004
- [j2]Sunita Sarawagi, V. G. Vinod Vydiswaran:
Learning to extract information from large domain-specific websites using sequential models. SIGKDD Explor. 6(2): 61-66 (2004) - 2003
- [j1]Sunita Sarawagi, V. G. Vinod Vydiswaran, Sumana Srinivasan, Kapil Bhudhia:
Resolving citations in a paper repository. SIGKDD Explor. 5(2): 156-157 (2003)
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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