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

An Efficient and Accurate Compression Ratio Estimation Model for SZx. - Arham Khan; Sheng Di; Kai Zhao 008; Jinyang Liu 003; Kyle Chard; Ian T. Foster; Franck Cappello (CLUSTER Workshops, 2023)

SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. - Arham Khan; Sheng Di; Kai Zhao 008; Jinyang Liu 003; Kyle Chard; Ian T. Foster; Franck Cappello (HiPC, 2023)

LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. - Robert Underwood; Sheng Di; Sian Jin; Md Hasanur Rahman 001; Arham Khan; Franck Cappello (SC Workshops, 2023)

OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. - Maksim Levental; Arham Khan; Ryan Chard; Kazutomo Yoshii; Kyle Chard; Ian T. Foster (CoRR, 2023)

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

An End-to-End Programming Model for AI Engine Architectures. - Maksim Levental; Arham Khan; Ryan Chard; Kyle Chard; Stephen Neuendorffer; Ian T. Foster (HEART, 2024)

BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. - Maksim Levental; Arham Khan; Ryan Chard; Kazutomo Yoshii; Kyle Chard; Ian T. Foster (HEART, 2024)

SoK: On Finding Common Ground in Loss Landscapes Using Deep Model Merging Techniques. - Arham Khan; Todd Nief; Nathaniel Hudson 001; Mansi Sakarvadia; Daniel Grzenda; Aswathy Ajith; Jordan Pettyjohn; Kyle Chard; Ian T. Foster (CoRR, 2024)

LSHBloom: Memory-efficient, Extreme-scale Document Deduplication. - Arham Khan; Robert Underwood; Carlo Siebenschuh; Yadu N. Babuji; Aswathy Ajith; Kyle Hippe; Ozan Gökdemir; Alexander Brace; Kyle Chard; Ian T. Foster (CoRR, 2024)

SMURF: Federated Multimodal Retrieval for Scientific Data via Embedding Alignment. - Song Young Oh; Arham Khan; Ian T. Foster; Kyle Chard (eScience, 2025)

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)

Revisiting ONE Simulator in IoV Research: Seeing the Forest Through the Trees. - Hasan Mahmood Aminul Islam; Khalid Mahbub Khan; Mahamudur Rahman Maharaz; Angon Bhadra Antu; Farhad Billah; Shishir Majumder; Arham Khan (IEEE Access, 2025)

AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine. - Carlo Siebenschuh; Kyle Hippe; Ozan Gökdemir; Alexander Brace; Arham Khan; Khalid Hossain; Yadu N. Babuji; Nicholas Chia; Venkatram Vishwanath; Rick Stevens; Arvind Ramanathan; Ian T. Foster; et al. (CoRR, 2025)