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ORCIDBenjamin Hoover
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2020 – today
- 2024
[c12]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau:
Interactive Visual Learning for Stable Diffusion. IJCAI 2024: 8721-8724- [i15]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Polo Chau:
Interactive Visual Learning for Stable Diffusion. CoRR abs/2404.16069 (2024) - [i14]Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang, Seongmin Lee, Benjamin Hoover, Duen Horng Chau:
Transformer Explainer: Interactive Learning of Text-Generative Models. CoRR abs/2408.04619 (2024) - 2023
- [j2]Hendrik Strobelt
, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush:
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. IEEE Trans. Vis. Comput. Graph. 29(1): 1146-1156 (2023) - [c11]Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau:
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. ACL (1) 2023: 893-911 - [c10]Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin:
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. CHI 2023: 565:1-565:20 - [c9]Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau:
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM 2023: 2044-2054 - [c8]Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov:
Energy Transformer. NeurIPS 2023 - [i13]Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov:
Energy Transformer. CoRR abs/2302.07253 (2023) - [i12]Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin:
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. CoRR abs/2303.00673 (2023) - [i11]Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau:
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. CoRR abs/2305.03509 (2023) - [i10]Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau:
Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR abs/2309.16750 (2023) - 2022
- [c7]Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt:
Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior. CHI 2022: 10:1-10:17 - [i9]Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau:
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR abs/2203.16475 (2022) - [i8]Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush:
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. CoRR abs/2208.07852 (2022) - [i7]Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau:
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. CoRR abs/2210.14896 (2022) - 2021
- [j1]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, Allen Gidraf Kahindo Maina, Ahmad Hussien, Miguel A. Luengo-Oroz:
Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox's Bazar settlement. PLoS Comput. Biol. 17(10) (2021) - [c6]Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann:
LMdiff: A Visual Diff Tool to Compare Language Models. EMNLP (Demos) 2021: 96-105 - [c5]Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov:
Can a Fruit Fly Learn Word Embeddings? ICLR 2021 - [c4]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:
The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game. IUI 2021: 423-433 - [c3]Hendrik Strobelt, Benjamin Hoover:
Interactive Corpora Visualization for 60 Years of AI Research. NeurIPS (Competition and Demos) 2021: 278-282 - [i6]Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov:
Can a Fruit Fly Learn Word Embeddings? CoRR abs/2101.06887 (2021) - [i5]Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt:
Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment. CoRR abs/2107.09234 (2021) - [i4]Eden Bensaid, Mauro Martino, Benjamin Hoover, Jacob Andreas, Hendrik Strobelt:
FairyTailor: A Multimodal Generative Framework for Storytelling. CoRR abs/2108.04324 (2021) - [i3]Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann:
LMdiff: A Visual Diff Tool to Compare Language Models. CoRR abs/2111.01582 (2021) - 2020
- [c2]Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann:
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models. ACL (demo) 2020: 187-196 - [c1]Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic:
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. NeurIPS 2020 - [i2]Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic:
Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. CoRR abs/2004.01215 (2020)
2010 – 2019
- 2019
- [i1]Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann:
exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models. CoRR abs/1910.05276 (2019)
Coauthor Index
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