2 citations · 2 across the 6 of their papers we have counts for
7 papers
FlyHack: Stress-Testing Mechanistic Claims in a Connectome-Constrained Visual Model
Aashish Dhawan
Connectome-constrained neural networks make biological components directly accessible to intervention, but their mechanistic conclusions can still depend on the comparison model, i…
BM25-Augmented Many-Shot Translation for Low-Resource North-Eastern Indian Languages
Aashish Dhawan, Christopher Driggers-Ellis, Dzmitry Kasinets +2
This paper describes the University of Florida Gators submission to the WMT26 Low-Resource Indic Language Translation shared task. We adapt the retrieval-augmented many-shot transl…
Retrieval-Augmented Long-Context Translation for Cultural Image Captioning: Gators submission for AmericasNLP 2026 shared task
Aashish Dhawan, Christopher Driggers-Ellis, Dzmitry Kasinets +2
We present the University of Florida Gators submission to the AmericasNLP 2026 shared task on cultural image captioning for Indigenous languages. Our two-stage pipeline generates a…
Improving Indigenous Language Machine Translation with Synthetic Data and Language-Specific Preprocessing
Aashish Dhawan, Christopher Driggers-Ellis, Christan Grant +1
Low-resource indigenous languages often lack the parallel corpora required for effective neural machine translation (NMT). Synthetic data generation offers a practical strategy for…
MultiScript30k: Leveraging Multilingual Embeddings to Extend Cross Script Parallel Data
Christopher Driggers-Ellis, Detravious Brinkley, Ray Chen +3
Multi30k is frequently cited in the multimodal machine translation (MMT) literature, offering parallel text data for training and fine-tuning deep learning models. However, it is l…
A Review on Domain Adaption and Generative Adversarial Networks(GANs)
Aashish Dhawan, Divyanshu Mudgal
The major challenge in today's computer vision scenario is the availability of good quality labeled data. In a field of study like image classification, where data is of utmost imp…
Post Processing of image segmentation using Conditional Random Fields
Aashish Dhawan, Pankaj Bodani, Vishal Garg
The output of image the segmentation process is usually not very clear due to low quality features of Satellite images. The purpose of this study is to find a suitable Conditional…