David Esiobu

Publications by Year

Research Areas

Topic Modeling, Natural Language Processing Techniques, Computational and Text Analysis Methods, Neural Networks and Applications, Speech and dialogue systems

Most-Cited Works

• → Llama 2: Open Foundation and Fine-Tuned Chat Models(2023)2,592 cited
• → ROBBIE: Robust Bias Evaluation of Large Generative Language Models(2023)15 cited
• → A Theory on Adam Instability in Large-Scale Machine Learning(2023)2 cited
• → Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?(2024)2 cited
• → Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models(2025)1 cited