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2020 – today
- 2025
[j1]Hasan Mahmood Aminul Islam
, Khalid Mahbub Khan, Mahamudur Rahman Maharaz, Angon Bhadra Antu, Farhad Billah, Shishir Majumder, Arham Khan:
Revisiting ONE Simulator in IoV Research: Seeing the Forest Through the Trees. IEEE Access 13: 50727-50740 (2025)- [c8]Song Young Oh, Arham Khan, Ian T. Foster, Kyle Chard:
SMURF: Federated Multimodal Retrieval for Scientific Data via Embedding Alignment. eScience 2025: 452-459 - [c7]Mansi Sakarvadia, Aswathy Ajith, Arham Mushtaq Khan, Nathaniel C. Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney:
Mitigating Memorization in Language Models. ICLR 2025 - [i7]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, Robert Underwood:
AdaParse: An Adaptive Parallel PDF Parsing and Resource Scaling Engine. CoRR abs/2505.01435 (2025) - 2024
- [c6]Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster:
BraggHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. HEART 2024: 10-17 - [c5]Maksim Levental, Arham Khan, Ryan Chard, Kyle Chard, Stephen Neuendorffer, Ian T. Foster:
An End-to-End Programming Model for AI Engine Architectures. HEART 2024: 135-136 - [i6]Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney:
Mitigating Memorization In Language Models. CoRR abs/2410.02159 (2024) - [i5]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) - [i4]Arham Khan, Robert Underwood, Carlo Siebenschuh, Yadu N. Babuji, Aswathy Ajith, Kyle Hippe, Ozan Gökdemir, Alexander Brace, Kyle Chard, Ian T. Foster:
LSHBloom: Memory-efficient, Extreme-scale Document Deduplication. CoRR abs/2411.04257 (2024) - 2023
- [c4]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 - [c3]Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
An Efficient and Accurate Compression Ratio Estimation Model for SZx. CLUSTER Workshops 2023: 48-49 - [c2]Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian T. Foster, Franck Cappello:
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework. HiPC 2023: 132-142 - [c1]Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello:
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. SC Workshops 2023: 272-280 - [i3]Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster:
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. CoRR abs/2302.06751 (2023) - [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)
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