Benjamin Hoover

schoolIBMbar_chart#3038 Global Rank

Total Papers

HCI Rank

#3038

Research Areas

Years Active

Recent Publications

Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation

The Transformer architecture underpins modern large language models powering state-of-the-art text generation and AI applications. However, its complexity makes it difficult for non-experts to learn. Existing resources often lack interactivity, rely on static descriptions of simplified architectures, or fail to reflec…

CHI '232nd AuthorExplainable AI (XAI) +1

Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness

Mitigating algorithmic bias is a critical task in the development and deployment of machine learning models. While several toolkits exist to aid machine learning practitioners in addressing fairness issues, little is known about the strategies practitioners employ to evaluate model fairness and what factors influence…

CHI '222nd AuthorHonorable MentionExplainable AI (XAI) +1

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior

Saliency methods --- techniques to identify the importance of input features on a model's output --- are a common step in understanding neural network behavior. However, interpreting saliency requires tedious manual inspection to identify and aggregate patterns in model behavior, resulting in ad hoc or cherry-picked…

IUI '215th+ AuthorExplainable AI (XAI) +2

The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game

Recently, AI Security researchers have identified a new way crowdsourced data can be intentionally compromised. Backdoor attacks are a process through which an adversary creates a vulnerability in a machine learning model by “poisoning’' the training set by selectively mislabelling images containing a backdoor object.…

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