Aswathy Ajith

According to our database, Aswathy Ajith authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Mitigating Memorization In Language Models.

Mansi Sakarvadia, Aswathy Ajith, Arham Khan, Nathaniel Hudson, Caleb Geniesse, Kyle Chard, Yaoqing Yang, Ian T. Foster, Michael W. Mahoney

CoRR, 2024

SciQAG: A Framework for Auto-Generated Scientific Question Answering Dataset with Fine-grained Evaluation.

Yuwei Wan, Aswathy Ajith, Yixuan Liu, Ke Lu, Clara Grazian, Bram Hoex, Wenjie Zhang, Chunyu Kit, Tong Xie, Ian T. Foster

CoRR, 2024

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, Kyle Chard, Ian T. Foster

CoRR, 2023

MatPropXtractor: Generate to Extract.

Aswathy Ajith, Marcus Schwarting, Zhi Hong, Kyle Chard, Ian T. Foster

Proceedings of the First Tiny Papers Track at ICLR 2023, 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, Kyle Chard, Ian T. Foster

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

The Diminishing Returns of Masked Language Models to Science.

Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Kyle Chard, Ian T. Foster

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

ScholarBERT: Bigger is Not Always Better.

Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Carl Malamud, Roger Magoulas, Kyle Chard, Ian T. Foster

CoRR, 2022

2019

Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort.

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

Proceedings of the Computational Science - ICCS 2019, 2019

Active Learning Yields Better Training Data for Scientific Named Entity Recognition.

Roselyne Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Debra Audus, Shrayesh Patel, Juan de Pablo, Ian T. Foster

Proceedings of the 15th International Conference on eScience, 2019