5 papers
Generative AI May Reinforce Social Biases in Software Engineering Education
Erfan Entezami, Andrew Lan, Madeline Endres
Generative artificial intelligence (GenAI) is increasingly being deployed across a wide range of real-world applications. Without careful evaluation, reliance on these systems can…
Biased or Personalized? The Impact of Personal Information on AI-driven Development
Erfan Entezami, Madeline Endres
Generative AI is increasingly permeating software engineering, enabling developers to generate functions, files, and even entire applications from natural language specifications.…
LLM Misalignment via Adversarial RLHF Platforms
Erfan Entezami, Ali Naseh
Reinforcement learning has shown remarkable performance in aligning language models with human preferences, leading to the rise of attention towards developing RLHF platforms. Thes…
AI-Driven Innovations in Volumetric Video Streaming: A Review
Erfan Entezami, Hui Guan
Recent efforts to enhance immersive and interactive user experiences have driven the development of volumetric video, a form of 3D content that enables 6 DoF. Unlike traditional 2D…
A Safe Exploration Strategy for Model-free Task Adaptation in Safety-constrained Grid Environments
Erfan Entezami, Mahsa Sahebdel, Dhawal Gupta
Training a model-free reinforcement learning agent requires allowing the agent to sufficiently explore the environment to search for an optimal policy. In safety-constrained enviro…