exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models. - Benjamin Hoover; Hendrik Strobelt; Sebastian Gehrmann (CoRR, 2019)

exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models. - Benjamin Hoover; Hendrik Strobelt; Sebastian Gehrmann (ACL (demo), 2020)

CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. - Vijil Chenthamarakshan; Payel Das; Samuel C. Hoffman; Hendrik Strobelt; Inkit Padhi; Kar Wai Lim; Benjamin Hoover; Matteo Manica; Jannis Born; Teodoro Laino; Aleksandra Mojsilovic (NeurIPS, 2020)

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. - Vijil Chenthamarakshan; Payel Das; Inkit Padhi; Hendrik Strobelt; Kar Wai Lim; Benjamin Hoover; Samuel C. Hoffman; Aleksandra Mojsilovic (CoRR, 2020)

LMdiff: A Visual Diff Tool to Compare Language Models. - Hendrik Strobelt; Benjamin Hoover; Arvind Satyanarayan; Sebastian Gehrmann (EMNLP (Demos), 2021)

Can a Fruit Fly Learn Word Embeddings? - Yuchen Liang; Chaitanya K. Ryali; Benjamin Hoover; Leopold Grinberg; Saket Navlakha; Mohammed J. Zaki; Dmitry Krotov (ICLR, 2021)

The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game. - Zahra Ashktorab; Casey Dugan; James Johnson; Aabhas Sharma; Dustin Ramsey Torres; Ingrid Lange; Benjamin Hoover; Heiko Ludwig; Bryant Chen; Nathalie Baracaldo; Werner Geyer; Qian Pan (IUI, 2021)

Interactive Corpora Visualization for 60 Years of AI Research. - Hendrik Strobelt; Benjamin Hoover (NeurIPS (Competition and Demos), 2021)

Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment. - Angie W. Boggust; Benjamin Hoover; Arvind Satyanarayan; Hendrik Strobelt (CoRR, 2021)

FairyTailor: A Multimodal Generative Framework for Storytelling. - Eden Bensaid; Mauro Martino; Benjamin Hoover; Jacob Andreas; Hendrik Strobelt (CoRR, 2021)

Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox's Bazar settlement. - Joseph Aylett-Bullock; Carolina Cuesta-Lázaro; Arnau Quera-Bofarull; Anjali Katta; Katherine Hoffmann Pham; Benjamin Hoover; Hendrik Strobelt; Rebeca Moreno Jimenez; Aidan Sedgewick; Egmond Samir Evers; David Kennedy; Sandra Harlass; et al. (PLoS Comput. Biol., 2021)

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior. - Angie W. Boggust; Benjamin Hoover; Arvind Satyanarayan; Hendrik Strobelt (CHI, 2022)

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. - Haekyu Park; Seongmin Lee 007; Benjamin Hoover; Austin P. Wright; Omar Shaikh; Rahul Duggal; Nilaksh Das; Judy Hoffman; Duen Horng Chau (CoRR, 2022)

DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. - Zijie J. Wang; Evan Montoya; David Munechika; Haoyang Yang; Benjamin Hoover; Duen Horng Chau (ACL (1), 2023)

Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. - Zahra Ashktorab; Benjamin Hoover; Mayank Agarwal; Casey Dugan; Werner Geyer; Hao Bang Yang; Mikhail Yurochkin (CHI, 2023)

Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. - Haekyu Park; Seongmin Lee 007; Benjamin Hoover; Austin P. Wright; Omar Shaikh; Rahul Duggal; Nilaksh Das; Kevin Li; Judy Hoffman; Duen Horng Chau (CIKM, 2023)

Energy Transformer. - Benjamin Hoover; Yuchen Liang; Bao Pham; Rameswar Panda; Hendrik Strobelt; Duen Horng Chau; Mohammed J. Zaki; Dmitry Krotov (NeurIPS, 2023)

Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. - Benjamin Hoover; Hendrik Strobelt; Dmitry Krotov; Judy Hoffman; Zsolt Kira; Duen Horng Chau (CoRR, 2023)

Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. - Hendrik Strobelt; Albert Webson; Victor Sanh; Benjamin Hoover; Johanna Beyer; Hanspeter Pfister; Alexander M. Rush (IEEE Trans. Vis. Comput. Graph., 2023)

Interactive Visual Learning for Stable Diffusion. - Seongmin Lee 007; Benjamin Hoover; Hendrik Strobelt; Zijie J. Wang; Shengyun Peng; Austin P. Wright; Kevin Li; Haekyu Park; Haoyang Yang; Duen Horng Chau (IJCAI, 2024)

Dense Associative Memory Through the Lens of Random Features. - Benjamin Hoover; Duen Horng Chau; Hendrik Strobelt; Parikshit Ram; Dmitry Krotov (NeurIPS, 2024)

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. - Seongmin Lee 007; Benjamin Hoover; Hendrik Strobelt; Zijie J. Wang; Shengyun Peng; Austin P. Wright; Kevin Li; Haekyu Park; Haoyang Yang; Duen Horng (Polo) Chau (IEEE VIS, 2024)

TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models. - Aeree Cho; Grace C. Kim; Alexander Karpekov; Alec Helbling; Zijie J. Wang; Seongmin Lee 007; Benjamin Hoover; Duen Horng (Polo) Chau (AAAI, 2025)

ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features. - Alec Helbling; Tuna Han Salih Meral; Benjamin Hoover; Pinar Yanardag; Duen Horng Chau (CoRR, 2025)

Small Models, Smarter Learning: The Power of Joint Task Training. - Csaba Both; Benjamin Hoover; Hendrik Strobelt; Dmitry Krotov; Daniel Karl I. Weidele; Mauro Martino; Nima Dehmamy (CoRR, 2025)

Dense Associative Memory with Epanechnikov Energy. - Benjamin Hoover; Zhaoyang Shi; Krishnakumar Balasubramanian 002; Dmitry Krotov; Parikshit Ram (CoRR, 2025)

Modern Methods in Associative Memory. - Dmitry Krotov; Benjamin Hoover; Parikshit Ram; Bao Pham (CoRR, 2025)