Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language

Angie Boggust • Donghao Ren • Yannick Assogba • Dominik Moritz • Arvind Satyanarayan • Fred Hohman

Under Review at International Conference on Learning Representations (ICLR) 2026

LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity

Walid Bousselham • Angie Boggust • Sofian Chaybouti • Hendrik Strobelt • Hilde Kuehne

International Conference on Computer Vision (ICCV) 2025

Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships

Angie Boggust • Hyemin Bang • Hendrik Strobelt • Arvind Satyanarayan

ACM Human Factors in Computing Systems (CHI) 2025

Chatbot Evaluation Is (Sometimes) Ill-Posed: Contextualization Errors in the Human-Interface-Model Pipeline

Aspen Hopkins* • Angie Boggust* • Harini Suresh*

Human-centered Evaluation and Auditing of Language Models (HEAL) Workshop at ACM Human Factors in Computing Systems (CHI) 2025

Explanation Alignment: Quantifying the Correctness of Model Reasoning At Scale

Hyemin Bang • Angie Boggust • Arvind Satyanarayan

European Conference on Computer Vision (ECCV) Explainable Computer Vision Workshop 2024

Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments

Angie Boggust* • Venkatesh Sivaraman* • Yannick Assogba • Donghao Ren • Dominik Moritz • Fred Hohman

IEEE Transactions on Visualization & Computer Graphics (VIS) 2024

DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models

Zoe De Simone • Angie Boggust • Arvind Satyanarayan • Ashia Wilson

arXiv 2023

Uncertainty Fingerprints: Interpreting Model Decisions with Human Conceptual Hierarchies

Angie Boggust • Hendrik Strobelt • Arvind Satyanarayan

International Conference on Machine Learning (ICML) AI & HCI Workshop 2023

VisText: A Benchmark for Semantically Rich Chart Captioning

Benny J. Tang* • Angie Boggust* • Arvind Satyanarayan

The Annual Meeting of the Association for Computational Linguistics (ACL) 2023

Outstanding Paper

Saliency Cards: A Framework to Characterize and Compare Saliency Methods

Angie Boggust* • Harini Suresh* • Hendrik Strobelt • John V. Guttag • Arvind Satyanarayan

ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2023

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

Angie Boggust • Benjamin Hoover • Arvind Satyanarayan • Hendrik Strobelt

ACM Human Factors in Computing Systems (CHI) 2022

Best Paper Honorable Mention

Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples

Angie Boggust* • Brandon Carter* • Arvind Satyanarayan

ACM Intelligent User Interfaces (IUI) 2022

Best Paper Honorable Mention

Multimodal Clustering Networks for Self-Supervised Learning From Unlabeled Videos

Brian Chen • Andrew Rouditchenko • Kevin Duarte • Hilde Kuehne • Samuel Thomas • Angie Boggust • Rameswar Panda • Brian Kingsbury • Rogerio Feris • David Harwath • Jim Glass • Brian Chen • Dhiraj Joshi • Michael Picheny

International Conference on Computer Vision (ICCV) 2021

Cascaded Multilingual Audio-Visual Learning from Videos

Andrew Rouditchenko • Angie Boggust • David Harwath • Samuel Thomas • Hilde Kuehne • Brian Chen • Rameswar Panda • Rogerio Feris • Michael Picheny • Jim Glass

INTERSPEECH Conference 2021

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos

Andrew Rouditchenko* • Angie Boggust* • David Harwath • Brian Chen • Dhiraj Joshi • Samuel Thomas • Kartik Audhkhasi • Hilde Kuehne • Rameswar Panda • Rogerio Feris • Brian Kingsbury • Michael Picheny • Antonio Torralba • Jim Glass

INTERSPEECH Conference 2021

Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment

Angie Boggust • Benjamin Hoover • Arvind Satyanarayan • Hendrik Strobelt

International Conference on Machine Learning (ICML) Workshop on Human in the Loop Learning (HILL) 2021

Shared Interest: Human Annotation vs. AI Saliency

Angie Boggust • Benjamin Hoover • Arvind Satyanarayan • Hendrik Strobelt

Neural Information Processing Systems (NeurIPS) Demonstration 2020

Shared Interest: Human Annotation vs. AI Saliency

Angie Boggust • Benjamin Hoover • Arvind Satyanarayan • Hendrik Strobelt

IEEE VIS Workshop of Visualization for AI Explainability (VISxAI) 2020

Grounding Spoken Language in Unlabeled Video

Angie Boggust • Kartik Audhkhasi • Dhiraj Joshi • David Harwath • Samuel Thomas • Rogerio Feris • Dan Gutfreund • Yang Zhang • Antonio Torralba • Michael Picheny • Jim Glass

Computer Vision and Pattern Recognition (CVPR) Sight and Sound Workshop 2019