Papers/Research Articles

“The future depends on some graduate student who is deeply suspicious of everything I have said.”

— Geoffrey Hinton

Research papers that I have read, am reading, or plan to dive into

• Attention Is All You Need – Vaswani et al.
  (The groundbreaking paper that introduced the Transformer architecture.)

• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding – Devlin et al.
  (Revolutionized Natural Language Processing with contextual embeddings.)

• Quantifying Attention Flow in Transformers – Abnar & Zuidema
  (Investigates how attention weights relate to model interpretability.)

• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks – Lewis et al.
  (Blends retrieval and generation to enhance factual answering.)

• The Why and How of Explainable AI: Insights from the Medical Domain – Holzinger et al.
  (Focused on transparency and trust in AI-assisted healthcare.)

• Having Beer after Prayer? Measuring Cultural Bias in Large Language Models – Naous et al.
  (Investigates cultural bias across societal contexts in LLMs.)