Tech Reading List 📚

What's this? Why you've found my technology reading list! I'm naturally curious about how things work and I do a lot of reading as a graduate student. This year I'd like to track and share some of my readings. General themes around my reading list will continue to be around AI, Machine Learning, Human-Computer Interaction and Security .

• Large Language Models for Software Engineering: Survey and Open Problems
• A Survey on Large Language Models for Software Engineering
• A Comprehensive Overview of Backdoor Attacks in Large Language Models within Communication Networks
• The DevOps Handbook
• Security Challenges for Cloud or Fog Computing-Based AI Applications
• Green Edge AI: A Contemporary Survey
• Blockchain for Edge of Things
• Green AI
• A Standardized Machine-readable Dataset Documentation Format for Responsible AI
• The Impact of Responsible AI Research on Innovation and Development
• Data’s Impact on Algorithmic Bias
• Distributed Representations of Words and Phrases and their Compositionality
• Fantastic Biases (What are They) and Where to Find Them
• Bias in Large Language Models: Origin Evaluation and Mitigation
• On Debiasing Text Embeddings Through Context Injection