Our paper 'Conditional RNA Generation (RNA-DCGen)' was accepted in NeurIPS 2024 Workshop on Machine Learning in Structural Biology (MLSB).
Our paper on a new state-of-the-art RNA Language Model 'BiRNA-BERT' was accepted in two NeurIPS 2024 Workshops: ENLSP (oral/spotlight paper!) and FM4Science.
Our paper 'IllusionVQA' was accepted in the Conference On Language Modeling (COLM) 2024.
Our analysis paper 'Too Late to Train, Too Early To Use? - A Study on Bengali LLMs' is out now on arxiv.
Our paper 'Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks' was accepted in Findings of ACL 2024.
Our team won the IEEE VIPCUP at ICIP 2023 Malaysia. The task was Ophthalmic Biomarker Detection from Retinal Scans.
Research Experience
Tutorial presenter at ACL 2024 on the vulnerabilities of large language models to adversarial attacks.
Education
PhD in Computer Science from the University of California Riverside, advised by Professor Yue Dong
Background
CS PhD Student at the University of California Riverside, with a primary interest in multimodal neural networks, focusing on their response to adversarial attacks and out-of-distribution data.
Miscellany
Location: Riverside, CA; Social Media: Twitter, Github, Google Scholar