Presents a grounded evaluation suite for multi-hop financial QA, covering ingestion, retrieval, and reasoning quality for SEC-scale corpora.
@article{ashraf2025finhop,title={FINHOP: Benchmarking Retrieval-Augmented Generation for Multi-Hop Questions on Long Financial Documents},author={Ashraf, Aeyan and collaborators},year={2025},note={Under review at EMNLP 2025},}
2023
APSIPA ASC
A Vision Transformer-Based Approach to Bearing Fault Classification via Vibration Signals
Aeyan
Ashraf and
collaborators
In Proc. APSIPA Annual Summit and Conference, 2023
Demonstrates ViT-driven diagnostics that improve industrial bearing fault detection accuracy on vibration datasets.
@inproceedings{ashraf2023bearing,title={A Vision Transformer-Based Approach to Bearing Fault Classification via Vibration Signals},author={Ashraf, Aeyan and collaborators},booktitle={Proc. APSIPA Annual Summit and Conference},year={2023},url={https://link.springer.com/chapter/10.1007/978-981-97-6352-8_59}}
SIGMAA
Zea Mays Leaf Disease Classification using Swin-Transformer