• 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 48 matches

• 2024
• 
  Logan Lang, Pedram Tavadze, Andres Tellez, Eric Bousquet, Xu He, Francisco Muñoz, Nicolas Vasquez, Uthpala Herath, Aldo H. Romero:
  Expanding PyProcar for new features, maintainability, and reliability. Comput. Phys. Commun. 297: 109063 (2024)
• 
  Adhitha Dias, Logan Anderson, Kirshanthan Sundararajah, Artem Pelenitsyn, Milind Kulkarni:
  SparseAuto: An Auto-scheduler for Sparse Tensor Computations using Recursive Loop Nest Restructuring. Proc. ACM Program. Lang. 8(OOPSLA2): 527-556 (2024)
• 
  Guillaume L. Giudicelli, Alexander D. Lindsay, Logan H. Harbour, Casey Icenhour, Mengnan Li, Joshua Hansel, Peter German, Patrick Behne, Oana Marin, Roy H. Stogner, Jason M. Miller, Daniel Schwen, Yaqi Wang, Lynn Munday, Sebastian Schunert, Benjamin W. Spencer, Dewen Yushu, Antonio M. Recuero, Zachary M. Prince, Max Nezdyur, Tianchen Hu, Yinbin Miao, Yeon Sang Jung, Christopher Matthews, April Novak, Brandon Langley, Timothy J. Truster, Nuno Nobre, Brian Alger, David Andrs, Fande Kong, Robert W. Carlsen, Andrew E. Slaughter, John W. Peterson, Derek Gaston, Cody J. Permann:
  3.0 - MOOSE: Enabling massively parallel multiphysics simulations. SoftwareX 26: 101690 (2024)
• 
  Pooyan Rahmanzadehgervi, Logan Bolton, Mohammad Reza Taesiri, Anh Totti Nguyen:
  Vision Language Models are blind[inline-graphic not available: see fulltext]. ACCV (5) 2024: 293-309
• 
  Robert Huben, Hoagy Cunningham, Logan Riggs, Aidan Ewart, Lee Sharkey:
  Sparse Autoencoders Find Highly Interpretable Features in Language Models. ICLR 2024
• 
  Ildar Akhmetov, Logan W. Schmidt:
  Building Bridges in Computer Networks: A Nifty Assignment for Cross-Language Learning and Code Refactoring. WCCCE 2024: 22:1-22:2
• 
  V. K. Cody Bumgardner, Mitchell A. Klusty, W. Vaiden Logan, Samuel E. Armstrong, Caylin Hickey, Jeff Talbert:
  Institutional Platform for Secure Self-Service Large Language Model Exploration. CoRR abs/2402.00913 (2024)
• 
  Justin Cosentino, Anastasiya Belyaeva, Xin Liu, Nicholas A. Furlotte, Zhun Yang, Chace Lee, Erik Schenck, Yojan Patel, Jian Cui, Logan Douglas Schneider, Robby Bryant, Ryan G. Gomes, Allen Jiang, Roy Lee, Yun Liu, Javier Perez Matos, Jameson K. Rogers, Cathy Speed, Shyam Tailor, Megan Walker, Jeffrey Yu, Tim Althoff, Conor Heneghan, John Hernandez, Mark Malhotra, Leor Stern, Yossi Matias, Gregory S. Corrado, Shwetak N. Patel, Shravya Shetty, Jiening Zhan, Shruthi Prabhakara, Daniel McDuff, Cory Y. McLean:
  Towards a Personal Health Large Language Model. CoRR abs/2406.06474 (2024)
• 
  Pooyan Rahmanzadehgervi, Logan Bolton, Mohammad Reza Taesiri, Anh Totti Nguyen:
  Vision language models are blind. CoRR abs/2407.06581 (2024)
• 
  Logan Cross, Violet Xiang, Agam Bhatia, Daniel L. K. Yamins, Nick Haber:
  Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models. CoRR abs/2407.07086 (2024)
• 
  Adam Karvonen, Benjamin Wright, Can Rager, Rico Angell, Jannik Brinkmann, Logan Smith, Claudio Mayrink Verdun, David Bau, Samuel Marks:
  Measuring Progress in Dictionary Learning for Language Model Interpretability with Board Game Models. CoRR abs/2408.00113 (2024)
• 
  Alicia Russell-Gilbert, Alexander Sommers, Andrew Thompson, Logan Cummins, Sudip Mittal, Shahram Rahimi, Maria Seale, Joseph Jabour, Thomas Arnold, Joshua Church:
  AAD-LLM: Adaptive Anomaly Detection Using Large Language Models. CoRR abs/2411.00914 (2024)
• 2023
• 
  Richard Arsenault, David Huard, Jean-Luc Martel, Magali Troin, Juliane Mai, François Brissette, Christian Jauvin, Long Vu, James R. Craig, Trevor James Smith, Travis Logan, Bryan A. Tolson, Ming Han, Francis Gravel, Sébastien Langlois:
  The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America. Environ. Model. Softw. 168: 105808 (2023)
• 
  Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, Defne G. Ozgulbas, Natalia Vassilieva, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Sam Foreman, Zhen Xie, Diangen Lin, Maulik Shukla, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan:
  GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37(6): 683-705 (2023)
• 
  Kole Norberg, Husni Almoubayyed, Stephen E. Fancsali, Logan De Ley, Kyle Weldon, April Murphy, Steven Ritter:
  Rewriting Math Word Problems with Large Language Models. LLM@AIED 2023: 163-172
• 
  Benjamin C. Knoll, Melissa Gunderson, Geetanjali Rajamani, Elizabeth C. Wick, Alexis Colley, Elizabeth Lindemann, Rubina F. Rizvi, Molly Diethelm, Gretchen M. Hultman, Logan Pierce, Rui Zhang, Genevieve B. Melton:
  Advanced Care Planning Content Encoding with Natural Language Processing. MedInfo 2023: 609-613
• 
  Ethan A. Brooks, Logan Walls, Richard L. Lewis, Satinder Singh:
  Large Language Models can Implement Policy Iteration. NeurIPS 2023
• 
  Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar, Joshua D. Bocarsly, Andres M. Bran, Stefan Bringuier, L. Catherine Brinson, Kamal Choudhary, Defne Circi, Sam Cox, Wibe A. de Jong, Matthew L. Evans, Nicolas Gastellu, Jerome Genzling, María Victoria Gil, Ankur K. Gupta, Zhi Hong, Alishba Imran, Sabine Kruschwitz, Anne Labarre, Jakub Lála, Tao Liu, Steven Ma, Sauradeep Majumdar, Garrett W. Merz, Nicolas Moitessier, Elias Moubarak, Beatriz Mouriño, Brenden Pelkie, Michael Pieler, Mayk Caldas Ramos, Bojana Rankovic, Samuel G. Rodriques, Jacob N. Sanders, Philippe Schwaller, Marcus Schwarting, Jiale Shi, Berend Smit, Ben E. Smith, Joren Van Heck, Christoph Völker, Logan T. Ward, Sean Warren, Benjamin Weiser, Sylvester Zhang, Xiaoqi Zhang, Ghezal Ahmad Zia, Aristana Scourtas, K. J. Schmidt, Ian T. Foster, Andrew D. White, Ben Blaiszik:
  14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon. CoRR abs/2306.06283 (2023)
• 
  Hoagy Cunningham, Aidan Ewart, Logan Riggs, Robert Huben, Lee Sharkey:
  Sparse Autoencoders Find Highly Interpretable Features in Language Models. CoRR abs/2309.08600 (2023)
• 2022
• 
  Iz Beltagy, Arman Cohan, Robert L. Logan IV, Sewon Min, Sameer Singh:
  Zero- and Few-Shot NLP with Pretrained Language Models. ACL (tutorial) 2022: 32-37
• 
  Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel:
  Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. ACL (Findings) 2022: 2824-2835
• 
  Nishant Kambhatla, Logan Born, Anoop Sarkar:
  Auxiliary Subword Segmentations as Related Languages for Low Resource Multilingual Translation. EAMT 2022: 131-140
• 2021
• 
  Sobhit Singh, Logan Lang, Viviana Dovale-Farelo, Uthpala Herath, Pedram Tavadze, François-Xavier Coudert, Aldo H. Romero:
  MechElastic: A Python library for analysis of mechanical and elastic properties of bulk and 2D materials. Comput. Phys. Commun. 267: 108068 (2021)
• 
  Hasan Baig, Pedro Fontanarossa, Vishwesh Kulkarni, James Alastair McLaughlin, Prashant Vaidyanathan, Bryan Bartley, Shyam Bhakta, Swapnil Bhatia, Mike Bissell, Kevin Clancy, Robert Sidney Cox III, Ángel Goñi-Moreno, Thomas E. Gorochowski, Raik Grünberg, Jihwan Lee, Augustin Luna, Curtis Madsen, Goksel Misirli, Tramy Nguyen, Nicolas Le Novère, Zachary Palchick, Matthew R. Pocock, Nicholas Roehner, Herbert M. Sauro, James Scott-Brown, John T. Sexton, Guy-Bart Stan, Jeffrey J. Tabor, Logan Terry, Marta Vazquez Vilar, Christopher A. Voigt, Anil Wipat, David Zong, Zach Zundel, Jacob Beal, Chris J. Myers:
  Synthetic biology open language visual (SBOL Visual) version 2.3. J. Integr. Bioinform. 18(3) (2021)
• 
  Jan de Mooij, Davide Dell'Anna, Parantapa Bhattacharya, Mehdi Dastani, Brian Logan, Samarth Swarup:
  Sim-2APL - A Practical Agent Programming Language for Simulation. Zenodo, 2021 
• 
  Zhi Hong, J. Gregory Pauloski, Logan T. Ward, Kyle Chard, Ben Blaiszik, Ian T. Foster:
  AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text. CoRR abs/2101.04617 (2021)
• 
  Robert L. Logan IV, Ivana Balazevic, Eric Wallace, Fabio Petroni, Sameer Singh, Sebastian Riedel:
  Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models. CoRR abs/2106.13353 (2021)
• 2020
• 
  Robert L. Logan IV, Matt Gardner, Sameer Singh:
  On Importance Sampling-Based Evaluation of Latent Language Models. ACL 2020: 2171-2176
• 
  Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, Sameer Singh:
  AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts. EMNLP (1) 2020: 4222-4235
• 
  Triparna de Vreede, Logan M. Steele, Gert-Jan de Vreede, Robert O. Briggs:
  LeadLets: Towards a Pattern Language for Leadership Development of Human and AI Agents. HICSS 2020: 1-11

skipping 18 more matches