Aswathy Ajith

15 papers A* 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights.
PASC
Ozan Gökdemir, Carlo Siebenschuh, Alexander Brace, Azton Wells, Brian Hsu, Kyle Hippe, Priyanka Setty, Aswathy Ajith, J. Gregory Pauloski, Varuni Sastry, Sam Foreman, Huihuo Zheng, Heng Ma, Bharat Kale, Nicholas Chia, Thomas Gibbs, Michael E. Papka, Thomas S. Brettin, Francis J. Alexander, Anima Anandkumar, Ian T. Foster, Rick Stevens, Venkatram Vishwanath, Arvind Ramanathan
2025 J jnl
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights.
CoRR
Ozan Gökdemir, Carlo Siebenschuh, Alexander Brace, Azton Wells, Brian Hsu, Kyle Hippe, Priyanka Vasanthakumari, Aswathy Ajith, J. Gregory Pauloski, Varuni Katti Sastry, Sam Foreman, Huihuo Zheng, Heng Ma, Bharat Kale, Nicholas Chia, Thomas Gibbs, Michael E. Papka, Thomas S. Brettin, Francis J. Alexander, Anima Anandkumar, Ian T. Foster, Rick Stevens, Venkatram Vishwanath, Arvind Ramanathan
2025 A* conf
Mitigating Memorization in Language Models.
ICLR
Mansi Sakarvadia, Aswathy Ajith, Arham Mushtaq Khan, Nathaniel C. Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney
2024 J jnl
LSHBloom: Memory-efficient, Extreme-scale Document Deduplication.
CoRR
Arham Khan, Robert Underwood, Carlo Siebenschuh, Yadu N. Babuji, Aswathy Ajith, Kyle Hippe, Ozan Gökdemir, Alexander Brace, Kyle Chard, Ian T. Foster
2024 J jnl
Mitigating Memorization In Language Models.
CoRR
Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney
2024 J jnl
SciQAG: A Framework for Auto-Generated Scientific Question Answering Dataset with Fine-grained Evaluation.
CoRR
Yuwei Wan, Aswathy Ajith, Yixuan Liu, Ke Lu, Clara Grazian, Bram Hoex, Wenjie Zhang, Chunyu Kit, Tong Xie, Ian T. Foster
2024 J jnl
SoK: On Finding Common Ground in Loss Landscapes Using Deep Model Merging Techniques.
CoRR
Arham Khan, Todd Nief, Nathaniel Hudson, Mansi Sakarvadia, Daniel Grzenda, Aswathy Ajith, Jordan Pettyjohn, Kyle Chard, Ian T. Foster
2023 J jnl
Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism.
CoRR
Mansi Sakarvadia, Arham Khan, Aswathy Ajith, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster
2023 — conf
MatPropXtractor: Generate to Extract.
Tiny Papers @ ICLR
Aswathy Ajith, Marcus Schwarting, Zhi Hong, Kyle Chard, Ian T. Foster
2023 — conf
Memory Injections: Correcting Multi-Hop Reasoning Failures During Inference in Transformer-Based Language Models.
BlackboxNLP@EMNLP
Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster
2023 J jnl
Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models.
CoRR
Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Daniel Grzenda, Nathaniel Hudson, André Bauer, Kyle Chard, Ian T. Foster
2023 — conf
The Diminishing Returns of Masked Language Models to Science.
ACL (Findings)
Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Kyle Chard, Ian T. Foster
2022 J jnl
ScholarBERT: Bigger is Not Always Better.
CoRR
Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Carl Malamud, Roger Magoulas, Kyle Chard, Ian T. Foster
2019 — conf
Active Learning Yields Better Training Data for Scientific Named Entity Recognition.
eScience
Roselyne Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Debra Audus, Shrayesh Patel, Juan de Pablo, Ian T. Foster
2019 — conf
Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort.
ICCS (1)
Roselyne B. Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Alexander Belikov, Debra J. Audus, Shrayesh Patel, Juan J. de Pablo, Ian T. Foster