• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 329 matches

• 2025
• 
  Alban Bornet, Dimitrios Proios, Anthony Yazdani, Fernando Jaume-Santero, Guy Haller, Edward Choi, Douglas Teodoro:
  Comparing neural language models for medical concept representation and patient trajectory prediction. Artif. Intell. Medicine 163: 103108 (2025)
• 
  Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Aayush Kapoor, Marc Vucovich, Kevin Choi, Abdul Rahman, Edward Bowen, Sachin Shetty:
  Privacy Drift: Evolving Privacy Concerns in Incremental Learning. ICNC 2025: 510-515
• 
  Sayyed Farid Ahamed, Soumya Banerjee, Sandip Roy, Marc Vucovich, Devin Quinn, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty:
  Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated Learning. ICNC 2025: 243-248
• 
  Edward Kempa, Ashish Aggarwal:
  Deconstructing Engineering Students' Ethical Reasoning: A Consequentialist Framework for Algorithmic Choices. ITiCSE (1) 2025: 597-603
• 
  Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty:
  Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning. IWCMC 2025: 643-648
• 
  Amit Chakraborty, Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty:
  RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks. IWCMC 2025: 1241-1246
• 
  Sungjin Park, Xiao Liu, Yeyun Gong, Edward Choi:
  Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning. NAACL (Long Papers) 2025: 10256-10277
• 
  Soyoung Yang, Hojun Cho, Jiyoung Lee, Sohee Yoon, Edward Choi, Jaegul Choo, Won Ik Cho:
  Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation. NAACL (Long Papers) 2025: 12071-12096
• 
  Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li, Josephina Hu, Hugh Zhang, Sean Shi, Michael Choi, Anish Agrawal, Arnav Chopra, Adam Khoja, Ryan Kim, Jason Hausenloy, Oliver Zhang, Mantas Mazeika, Daron Anderson, Tung Nguyen, Mobeen Mahmood, Fiona Feng, Steven Y. Feng, Haoran Zhao, Michael Yu, Varun Gangal, Chelsea Zou, Zihan Wang, Jessica P. Wang, Pawan Kumar, Oleksandr Pokutnyi, Robert Gerbicz, Serguei Popov, John-Clark Levin, Mstyslav Kazakov, Johannes Schmitt, Geoff Galgon, Alvaro Sanchez, Yongki Lee, Will Yeadon, Scott Sauers, Marc Roth, Chidozie Agu, Søren Riis, Fabian Giska, Saiteja Utpala, Zachary Giboney, Gashaw M. Goshu, Joan of Arc Xavier, Sarah-Jane Crowson, Mohinder Maheshbhai Naiya, Noah Burns, Lennart Finke, Zerui Cheng, Hyunwoo Park, Francesco Fournier-Facio, John Wydallis, Mark Nandor, Ankit Singh, Tim Gehrunger, Jiaqi Cai, Ben McCarty, Darling Duclosel, Jungbae Nam, Jennifer Zampese, Ryan G. Hoerr, Aras Bacho, Gautier Abou Loume, Abdallah Galal, Hangrui Cao, Alexis C. Garretson, Damien Sileo, Qiuyu Ren, Doru Cojoc, Pavel Arkhipov, Usman Qazi, Lianghui Li, Sumeet Motwani, Christian Schröder de Witt, Edwin Taylor, Johannes Veith, Eric Singer, Taylor D. Hartman, Paolo Rissone, Jaehyeok Jin, Jack Wei Lun Shi, Chris G. Willcocks, Joshua Robinson, Aleksandar Mikov, Ameya Prabhu, Longke Tang, Xavier Alapont, Justine Leon Uro, Kevin Zhou, Emily de Oliveira Santos, Andrey Pupasov Maksimov, Edward Vendrow, Kengo Zenitani, Julien Guillod, Yuqi Li, Joshua Vendrow, Vladyslav Kuchkin, Ng Ze-An:
  Humanity's Last Exam. CoRR abs/2501.14249 (2025)
• 
  Yoshua Bengio, Sören Mindermann, Daniel Privitera, Tamay Besiroglu, Rishi Bommasani, Stephen Casper, Yejin Choi, Philip Fox, Ben Garfinkel, Danielle Goldfarb, Hoda Heidari, Anson Ho, Sayash Kapoor, Leila Khalatbari, Shayne Longpre, Sam Manning, Vasilios Mavroudis, Mantas Mazeika, Julian Michael, Jessica Newman, Kwan Yee Ng, Chinasa T. Okolo, Deborah Raji, Girish Sastry, Elizabeth Seger, Theodora Skeadas, Tobin South, Emma Strubell, Florian Tramèr, Lucia Velasco, Nicole Wheeler, Daron Acemoglu, Olubayo Adekanmbi, David Dalrymple, Thomas G. Dietterich, Edward W. Felten, Pascale Fung, Pierre-Olivier Gourinchas, Fredrik Heintz, Geoffrey E. Hinton, Nick R. Jennings, Andreas Krause, Susan Leavy, Percy Liang, Teresa Ludermir, Vidushi Marda, Helen Margetts, John A. McDermid, Jane Munga, Arvind Narayanan, Alondra Nelson, Clara Neppel, Alice Oh, Gopal Ramchurn, Stuart Russell, Marietje Schaake, Bernhard Schölkopf, Dawn Song, Alvaro Soto, Lee Tiedrich, Gaël Varoquaux, Andrew Yao, Ya-Qin Zhang, Fahad Albalawi, Marwan Alserkal, Olubunmi Ajala, Guillaume Avrin, Christian Busch, André Carlos Ponce de Leon Ferreira de Carvalho, Bronwyn Fox, Amandeep Singh Gill, Ahmet Halit Hatip, Juha Heikkilä, Gill Jolly, Ziv Katzir, Hiroaki Kitano, Antonio Krüger, Chris Johnson, Saif M. Khan, Kyoung Mu Lee, Dominic Vincent Ligot, Oleksii Molchanovskyi, Andrea Monti, Nusu Mwamanzi, Mona Nemer, Nuria Oliver, José Ramón López Portillo, Balaraman Ravindran, Raquel Pezoa Rivera, Hammam Riza, Crystal Rugege, Ciarán Seoighe, Jerry Sheehan, Haroon Sheikh, Denise Wong, Yi Zeng:
  International AI Safety Report. CoRR abs/2501.17805 (2025)
• 
  Sumin Jo, Junseong Choi, Jiho Kim, Edward Choi:
  R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs. CoRR abs/2502.12767 (2025)
• 
  Sujeong Im, Jungwoo Oh, Edward Choi:
  LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records. CoRR abs/2502.14259 (2025)
• 
  Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, Chris Harris, Shih-Chieh Hsu, Hilmar Lapp, Mark S. Neubauer, Josephine M. Namayanja, Aneesh Subramanian, Philip C. Harris, Advaith Anand, David Edward Carlyn, Subhankar Ghosh, Christopher G. Lawrence, Eric A. Moreno, Ryan Raikman, Jiaman Wu, Ziheng Zhang, Bayu Adhi, Mohammad Ahmadi Gharehtoragh, Saúl Alonso-Monsalve, Marta Babicz, Furqan Baig, Namrata Banerji, William Bardon, Tyler Barna, Tanya Y. Berger-Wolf, Adji Bousso Dieng, Micah Brachman, Quentin Buat, David C. Y. Hui, Phuong Cao, Franco Cerino, Yi-Chun Chang, Shivaji Chaulagain, An-Kai Chen, Deming Chen, Eric Chen, Chia-Jui Chou, Zih-Chen Ciou, Miles Cochran-Branson, Artur Cordeiro Oudot Choi, Michael Coughlin, Matteo Cremonesi, Maria Dadarlat, Peter Darch, Malina Desai, Daniel Diaz, Steven Dillmann, Javier Duarte, Isla Duporge, Urbas Ekka, Saba Entezari Heravi, Hao Fang, Rian Flynn, Geoffrey Fox, Emily Freed, Hang Gao, Jing Gao, Julia Gonski, Matthew J. Graham, Abolfazl Hashemi, Scott Hauck, James Hazelden, Joshua Henry Peterson, Duc Hoang, Wei Hu, Mirco Hünnefeld, David Hyde, Vandana P. Janeja, Nattapon Jaroenchai, Haoyi Jia, Yunfan Kang, Maksim Kholiavchenko, Elham E Khoda, Sangin Kim, Aditya Kumar, Bo-Cheng Lai, Trung Le, Chi-Wei Lee, JangHyeon Lee, Shaocheng Lee, Suzan van der Lee, Charles Lewis, Haitong Li, Haoyang Li, Henry Liao, Mia Liu, Xiaolin Liu, Xiulong Liu, Vladimir Loncar, Fangzheng Lyu, Ilya Makarov, Abhishikth Mallampalli Chen-Yu Mao, Alexander Michels, Alexander Migala, Farouk Mokhtar, Mathieu Morlighem:
  Building Machine Learning Challenges for Anomaly Detection in Science. CoRR abs/2503.02112 (2025)
• 
  LG AI Research, Kyunghoon Bae, Eunbi Choi, Kibong Choi, Stanley Jungkyu Choi, Yemuk Choi, Seokhee Hong, Junwon Hwang, Hyojin Jeon, Kijeong Jeon, Gerrard Jeongwon Jo, Hyunjik Jo, Jiyeon Jung, Hyosang Kim, Joonkee Kim, Seonghwan Kim, Soyeon Kim, Sunkyoung Kim, Yireun Kim, Yongil Kim, Youchul Kim, Edward Hwayoung Lee, Haeju Lee, Honglak Lee, Jinsik Lee, Kyungmin Lee, Sangha Park, Yongmin Park, Sihoon Yang, Heuiyeen Yeen, Sihyuk Yi, Hyeongu Yun:
  EXAONE Deep: Reasoning Enhanced Language Models. CoRR abs/2503.12524 (2025)
• 
  Junu Kim, Chaeeun Shim, Sungjin Park, Su Yeon Lee, Gee Young Suh, Chae-Man Lim, Seong Jin Choi, Song Mi Moon, Kyoung-Ho Song, Eu Suk Kim, Hong Bin Kim, Sejoong Kim, Chami Im, Dong-Wan Kang, Yong Soo Kim, Hee-Joon Bae, Sung Yoon Lim, Han-Gil Jeong, Edward Choi:
  Enhancing LLMs' Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry. CoRR abs/2505.02722 (2025)
• 
  Daeun Kyung, Hyunseung Chung, Seongsu Bae, Jiho Kim, Jae Ho Sohn, Taerim Kim, Soo Kyung Kim, Edward Choi:
  PatientSim: A Persona-Driven Simulator for Realistic Doctor-Patient Interactions. CoRR abs/2505.17818 (2025)
• 
  Hyungyung Lee, Geon Choi, Jung-Oh Lee, Hangyul Yoon, Hyuk Gi Hong, Edward Choi:
  CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays. CoRR abs/2505.18087 (2025)
• 
  Amit Chakraborty, Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty:
  RADEP: A Resilient Adaptive Defense Framework Against Model Extraction Attacks. CoRR abs/2505.19364 (2025)
• 
  Jiyoung Lee, Seungho Kim, Jieun Han, Jun-Min Lee, Kitaek Kim, Alice Oh, Edward Choi:
  Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties. CoRR abs/2505.20875 (2025)
• 
  Jong Hak Moon, Geon Choi, Paloma Rabaey, Min Gwan Kim, Hyuk Gi Hong, Jung-Oh Lee, Hangyul Yoon, Eun Woo Doe, Jiyoun Kim, Harshita Sharma, Daniel C. Castro, Javier Alvarez-Valle, Edward Choi:
  Lunguage: A Benchmark for Structured and Sequential Chest X-ray Interpretation. CoRR abs/2505.21190 (2025)
• 
  Sayyed Farid Ahamed, Sandip Roy, Soumya Banerjee, Marc Vucovich, Kevin Choi, Abdul Rahman, Alison Hu, Edward Bowen, Sachin Shetty:
  Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning. CoRR abs/2505.23791 (2025)
• 
  Franck Meyer, Kyunghoon Hur, Edward Choi:
  MD-ViSCo: A Unified Model for Multi-Directional Vital Sign Waveform Conversion. CoRR abs/2506.08357 (2025)
• 
  Sunjun Kweon, Sooyohn Nam, Hyunseung Lim, Hwajung Hong, Edward Choi:
  A Large-Scale Real-World Evaluation of LLM-Based Virtual Teaching Assistant. CoRR abs/2506.17363 (2025)
• 2024
• 
  Siwei Zhang, Nick Strayer, Tess Vessels, Karmel Choi, Geoffrey W. Wang, Yajing Li, Cosmin Adrian Bejan, Ryan S. Hsi, Alex Bick, Digna R. Velez Edwards, Michael R. Savona, Elizabeth J. Phillips, Jill M. Pulley, Wesley H. Self, Consuelo H. Wilkins, Dan M. Roden, Jordan W. Smoller, Douglas M. Ruderfer, Yaomin Xu:
  PheMIME: an interactive web app and knowledge base for phenome-wide, multi-institutional multimorbidity analysis. J. Am. Medical Informatics Assoc. 31(11): 2440-2446 (2024)
• 
  Inmyung Choi, David E. Cantor, Kunsoo Han, Joey F. George:
  Dual Pathways of Value Creation from Digital Strategic Posture: Contingent Effects of Competitive Actions and Environmental Uncertainty. MIS Q. 48(1): 409-426 (2024)
• 
  Donghyeon Yi, Seoyoung Lee, Injun Choi, Gichan Yun, Edward Jongyoon Choi, Jonghee Park, Jonghoon Kwak, Sung-Joon Jang, Sohmyung Ha, Ik-Joon Chang, Minkyu Je:
  Skew-CIM: Process-Variation-Resilient and Energy-Efficient Computation-in-Memory Design Technique With Skewed Weights. IEEE Trans. Circuits Syst. I Regul. Pap. 71(5): 2067-2078 (2024)
• 
  Kyunghoon Hur, Jungwoo Oh, Junu Kim, Jiyoun Kim, Min Jae Lee, Eunbyeol Cho, Seong-Eun Moon, Young-Hak Kim, Louis Atallah, Edward Choi:
  GenHPF: General Healthcare Predictive Framework for Multi-Task Multi-Source Learning. IEEE J. Biomed. Health Informatics 28(1): 502-513 (2024)
• 
  Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard, He Wang, Hongyi Sun, Firas Khader, Daniel Truhn, Temirgali Aimyshev, Yerkebulan Zhanibekuly, Tien-Dung Le, Adrian Galdran, Miguel Ángel González Ballester, Gustavo Carneiro, Devika R. G, Hrishikesh Panikkasseril Sethumadhavan, Densen Puthussery, Hong Liu, Zekang Yang, Satoshi Kondo, Satoshi Kasai, Edward Wang, Ashritha Durvasula, Jónathan Heras, Miguel Ángel Zapata, Teresa Araújo, Guilherme Aresta, Hrvoje Bogunovic, Mustafa Arikan, Yeong Chan Lee, Hyun Bin Cho, Yoon Ho Choi, Abdul Qayyum, Imran Razzak, Bram van Ginneken, Hans G. Lemij, Clara I. Sánchez:
  AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge. IEEE Trans. Medical Imaging 43(1): 542-557 (2024)
• 
  Usman Anwar, Abulhair Saparov, Javier Rando, Daniel Paleka, Miles Turpin, Peter Hase, Ekdeep Singh Lubana, Erik Jenner, Stephen Casper, Oliver Sourbut, Benjamin L. Edelman, Zhaowei Zhang, Mario Günther, Anton Korinek, José Hernández-Orallo, Lewis Hammond, Eric J. Bigelow, Alexander Pan, Lauro Langosco, Tomasz Korbak, Heidi Chenyu Zhang, Ruiqi Zhong, Seán Ó hÉigeartaigh, Gabriel Recchia, Giulio Corsi, Alan Chan, Markus Anderljung, Lilian Edwards, Aleksandar Petrov, Christian Schröder de Witt, Sumeet Ramesh Motwani, Yoshua Bengio, Danqi Chen, Philip Torr, Samuel Albanie, Tegan Maharaj, Jakob Nicolaus Foerster, Florian Tramèr, He He, Atoosa Kasirzadeh, Yejin Choi, David Krueger:
  Foundational Challenges in Assuring Alignment and Safety of Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)
• 
  J. Lian, Kevin Choi, Balaji Veeramani, Alison Hu, Sathvik Murli, Laura J. Freeman, Edward Bowen, Xinwei Deng:
  Continual learning and its industrial applications: A selective review. WIREs Data. Mining. Knowl. Discov. 14(6) (2024)

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