71 citations · 129 across the 6 of their papers we have counts for
6 papers
Building Domain-Specific LLMs Faithful To The Islamic Worldview: Mirage or Technical Possibility?
Shabaz Patel, Hassan Kane, Rayhan Patel
Large Language Models (LLMs) have demonstrated remarkable performance across numerous natural language understanding use cases. However, this impressive performance comes with inhe…
The Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design
Chase Armer, Hassan Kane, Dana Cortade +7
The grand challenge of protein engineering is the development of computational models that can characterize and generate protein sequences for any arbitrary function. However, prog…
NUBIA: NeUral Based Interchangeability Assessor for Text Generation
Hassan Kane, Muhammed Yusuf Kocyigit, Ali Abdalla +2
We present NUBIA, a methodology to build automatic evaluation metrics for text generation using only machine learning models as core components. A typical NUBIA model is composed o…
Building Disaster Damage Assessment in Satellite Imagery with Multi-Temporal Fusion
Ethan Weber, Hassan Kané
Automatic change detection and disaster damage assessment are currently procedures requiring a huge amount of labor and manual work by satellite imagery analysts. In the occurrence…
Towards Neural Language Evaluators
Hassan Kané, Yusuf Kocyigit, Pelkins Ajanoh +2
We review three limitations of BLEU and ROUGE -- the most popular metrics used to assess reference summaries against hypothesis summaries, come up with criteria for what a good met…
AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus
Willie Boag, Hassan Kané
In recent years, word embeddings have been surprisingly effective at capturing intuitive characteristics of the words they represent. These vectors achieve the best results when tr…