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2020 – today
- 2024
[c3]André Bauer, Maxime Gonthier, Haochen Pan, Ryan Chard, Daniel Grzenda, Martin Straesser, J. Gregory Pauloski, Alok Kamatar, Matt Baughman, Nathaniel Hudson, Ian T. Foster, Kyle Chard:
An Empirical Investigation of Container Building Strategies and Warm Times to Reduce Cold Starts in Scientific Computing Serverless Functions. e-Science 2024: 1-10- [i4]V. Hewes, Adam Aurisano, Giuseppe Cerati, Jim Kowalkowski, Claire Songhyun Lee, Wei-keng Liao, Daniel Grzenda, Kaushal Gumpula, Xiaohe Zhang:
NuGraph2: A Graph Neural Network for Neutrino Physics Event Reconstruction. CoRR abs/2403.11872 (2024) - [i3]Arham Khan, Todd Nief, Nathaniel Hudson, Mansi Sakarvadia, Daniel Grzenda, Aswathy Ajith, Jordan Pettyjohn, Kyle Chard, Ian T. Foster:
SoK: On Finding Common Ground in Loss Landscapes Using Deep Model Merging Techniques. CoRR abs/2410.12927 (2024) - 2023
- [c2]Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer
, Kyle Chard, Ian T. Foster:
Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models. BlackboxNLP@EMNLP 2023: 342-356 - [i2]Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster:
Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models. CoRR abs/2309.05605 (2023) - [i1]Mansi Sakarvadia, Arham Khan, Aswathy Ajith, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster:
Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism. CoRR abs/2310.16270 (2023) - 2022
- [c1]Daniel Grzenda, Trevor Spreadbury, Joeva Rock, Brian Dowd-Uribe, David Uminsky:
OMGMO: Original Multi-modal Dataset of Genetically Modified Organisms in African Agriculture. SocInfo 2022: 414-425
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