1 citations · 2 across the 5 of their papers we have counts for
5 papers
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents
Mohammad Amaan Sayeed, Mohammed Talha Alam, Raza Imam +2
Centuries-old Islamic medical texts like Avicenna's Canon of Medicine and the Prophetic Tibb-e-Nabawi encode a wealth of preventive care, nutrition, and holistic therapies, yet rem…
Prot42: a Novel Family of Protein Language Models for Target-aware Protein Binder Generation
Mohammad Amaan Sayeed, Engin Tekin, Maryam Nadeem +4
Unlocking the next generation of biotechnology and therapeutic innovation demands overcoming the inherent complexity and resource-intensity of conventional protein engineering meth…
Gene42: Long-Range Genomic Foundation Model With Dense Attention
Kirill Vishniakov, Boulbaba Ben Amor, Engin Tekin +12
We introduce Gene42, a novel family of Genomic Foundation Models (GFMs) designed to manage context lengths of up to 192,000 base pairs (bp) at a single-nucleotide resolution. Gene4…
Chem42: a Family of chemical Language Models for Target-aware Ligand Generation
Aahan Singh, Engin Tekin, Maryam Nadeem +4
Revolutionizing drug discovery demands more than just understanding molecular interactions - it requires generative models that can design novel ligands tailored to specific biolog…
Spoken Word2Vec: Learning Skipgram Embeddings from Speech
Mohammad Amaan Sayeed, Hanan Aldarmaki
Text word embeddings that encode distributional semantics work by modeling contextual similarities of frequently occurring words. Acoustic word embeddings, on the other hand, typic…