Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. - Nathaniel Hudson; J. Gregory Pauloski; Matt Baughman; Alok Kamatar; Mansi Sakarvadia; Logan T. Ward; Ryan Chard; André Bauer 001; Maksim Levental; Wenyi Wang; Will Engler; Owen Price Skelly; et al. (BDCAT, 2023)

Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models. - Mansi Sakarvadia; Aswathy Ajith; Arham Khan; Daniel Grzenda; Nathaniel Hudson; André Bauer 001; Kyle Chard; Ian T. Foster (BlackboxNLP@EMNLP, 2023)

Lazy Python Dependency Management in Large-Scale Systems. - Alok Kamatar; Mansi Sakarvadia; Valérie Hayot-Sasson; Kyle Chard; Ian T. Foster (e-Science, 2023)

Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism. - Mansi Sakarvadia; Arham Khan; Aswathy Ajith; Daniel Grzenda; Nathaniel Hudson; André Bauer 001; Kyle Chard; Ian T. Foster (CoRR, 2023)

SoK: On Finding Common Ground in Loss Landscapes Using Deep Model Merging Techniques. - Arham Khan; Todd Nief; Nathaniel Hudson; Mansi Sakarvadia; Daniel Grzenda; Aswathy Ajith; Jordan Pettyjohn; Kyle Chard; Ian T. Foster (CoRR, 2024)

Towards Interpreting Language Models: A Case Study in Multi-Hop Reasoning. - Mansi Sakarvadia (CoRR, 2024)

Toward Non-Invasive Diagnosis of Bankart Lesions with Deep Learning. - Sahil Sethi; Sai Reddy; Mansi Sakarvadia; Jordan Serotte; Darlington Nwaudo; Nicholas Maassen; Lewis Shi (CoRR, 2024)

De Bello Homomorphico: Investigation of the extensibility of the OpenFHE library with basic mathematical functions by means of common approaches using the example of the CKKS cryptosystem. - Thomas Prantl; Lukas Horn; Simon Engel; Lukas Iffländer; Lukas Beierlieb; Christian Krupitzer; André Bauer 001; Mansi Sakarvadia; Ian T. Foster; Samuel Kounev (Int. J. Inf. Sec., 2024)

Mitigating Memorization in Language Models. - Mansi Sakarvadia; Aswathy Ajith; Arham Mushtaq Khan; Nathaniel C. Hudson; Caleb Geniesse; Kyle Chard; Yaoqing Yang; Ian T. Foster; Michael W. Mahoney (ICLR, 2025)

SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses. - Sahil Sethi; Sai Reddy; Mansi Sakarvadia; Jordan Serotte; Darlington Nwaudo; Nicholas Maassen; Lewis Shi (CoRR, 2025)

Empowering Scientific Workflows with Federated Agents. - J. Gregory Pauloski; Yadu N. Babuji; Ryan Chard; Mansi Sakarvadia; Kyle Chard; Ian T. Foster (CoRR, 2025)

Topology-Aware Knowledge Propagation in Decentralized Learning. - Mansi Sakarvadia; Nathaniel Hudson; Tian Li; Ian T. Foster; Kyle Chard (CoRR, 2025)