Benjamin Hoover

40 papers A* 10A 3Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation. CHI Aeree Cho, Grace C. Kim, Alexander Karpekov, Seongmin Lee, Alec Helbling, Benjamin Hoover, Zijie J. Wang, Minsuk Kahng, Duen Horng (Polo) Chau
2025	A*	`conf`	ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features. ICML Alec Helbling, Tuna Han Salih Meral, Benjamin Hoover, Pinar Yanardag, Duen Horng Chau
2025	J	`jnl`	ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features. CoRR Alec Helbling, Tuna Han Salih Meral, Benjamin Hoover, Pinar Yanardag, Duen Horng Chau
2025	J	`jnl`	Dense Associative Memory with Epanechnikov Energy. CoRR Benjamin Hoover, Zhaoyang Shi, Krishnakumar Balasubramanian, Dmitry Krotov, Parikshit Ram
2025	J	`jnl`	Modern Methods in Associative Memory. CoRR Dmitry Krotov, Benjamin Hoover, Parikshit Ram, Bao Pham
2025	J	`jnl`	NRGPT: An Energy-based Alternative for GPT. CoRR Nima Dehmamy, Benjamin Hoover, Bishwajit Saha, Leo Kozachkov, Jean-Jacques E. Slotine, Dmitry Krotov
2025	J	`jnl`	Small Models, Smarter Learning: The Power of Joint Task Training. CoRR Csaba Both, Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Daniel Karl I. Weidele, Mauro Martino, Nima Dehmamy
2025	A*	`conf`	TRANSFORMER EXPLAINER: Interactive Learning of Text-Generative Models. AAAI Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang, Seongmin Lee, Benjamin Hoover, Duen Horng (Polo) Chau
2024	A*	`conf`	Dense Associative Memory Through the Lens of Random Features. NeurIPS Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt, Parikshit Ram, Dmitry Krotov
2024	J	`jnl`	Dense Associative Memory Through the Lens of Random Features. CoRR Benjamin Hoover, Duen Horng Chau, Hendrik Strobelt, Parikshit Ram, Dmitry Krotov
2024	A	`conf`	Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. IEEE VIS Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng (Polo) Chau
2024	A*	`conf`	Interactive Visual Learning for Stable Diffusion. IJCAI Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Shengyun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
2024	J	`jnl`	Interactive Visual Learning for Stable Diffusion. CoRR Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Polo Chau
2024	J	`jnl`	Transformer Explainer: Interactive Learning of Text-Generative Models. CoRR Aeree Cho, Grace C. Kim, Alexander Karpekov, Alec Helbling, Zijie J. Wang, Seongmin Lee, Benjamin Hoover, Duen Horng Chau
2023	A	`conf`	Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. CIKM Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
2023	J	`jnl`	Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. CoRR Seongmin Lee, Benjamin Hoover, Hendrik Strobelt, Zijie J. Wang, Sheng-Yun Peng, Austin P. Wright, Kevin Li, Haekyu Park, Haoyang Yang, Duen Horng Chau
2023	—	`conf`	DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. ACL (1) Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
2023	A*	`conf`	Energy Transformer. NeurIPS Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
2023	J	`jnl`	Energy Transformer. CoRR Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov
2023	A*	`conf`	Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. CHI Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin
2023	J	`jnl`	Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness. CoRR Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Hao Bang Yang, Mikhail Yurochkin
2023	J	`jnl`	Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. IEEE Trans. Vis. Comput. Graph. Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
2023	J	`jnl`	Memory in Plain Sight: A Survey of the Uncanny Resemblances between Diffusion Models and Associative Memories. CoRR Benjamin Hoover, Hendrik Strobelt, Dmitry Krotov, Judy Hoffman, Zsolt Kira, Duen Horng Chau
2022	J	`jnl`	ConceptEvo: Interpreting Concept Evolution in Deep Learning Training. CoRR Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Judy Hoffman, Duen Horng Chau
2022	J	`jnl`	DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. CoRR Zijie J. Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, Duen Horng Chau
2022	J	`jnl`	Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. CoRR Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
2022	A*	`conf`	Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior. CHI Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt
2021	A*	`conf`	Can a Fruit Fly Learn Word Embeddings? ICLR Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov
2021	J	`jnl`	Can a Fruit Fly Learn Word Embeddings? CoRR Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov
2021	J	`jnl`	FairyTailor: A Multimodal Generative Framework for Storytelling. CoRR Eden Bensaid, Mauro Martino, Benjamin Hoover, Jacob Andreas, Hendrik Strobelt
2021	—	`conf`	Interactive Corpora Visualization for 60 Years of AI Research. NeurIPS (Competition and Demos) Hendrik Strobelt, Benjamin Hoover
2021	—	`conf`	LMdiff: A Visual Diff Tool to Compare Language Models. EMNLP (Demos) Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann
2021	J	`jnl`	LMdiff: A Visual Diff Tool to Compare Language Models. CoRR Hendrik Strobelt, Benjamin Hoover, Arvind Satyanarayan, Sebastian Gehrmann
2021	J	`jnl`	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. 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
2021	J	`jnl`	Shared Interest: Large-Scale Visual Analysis of Model Behavior by Measuring Human-AI Alignment. CoRR Angie W. Boggust, Benjamin Hoover, Arvind Satyanarayan, Hendrik Strobelt
2021	A	`conf`	The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game. IUI 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
2020	A*	`conf`	CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. NeurIPS Vijil Chenthamarakshan, Payel Das, Samuel C. Hoffman, Hendrik Strobelt, Inkit Padhi, Kar Wai Lim, Benjamin Hoover, Matteo Manica, Jannis Born, Teodoro Laino, Aleksandra Mojsilovic
2020	J	`jnl`	Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. CoRR Vijil Chenthamarakshan, Payel Das, Inkit Padhi, Hendrik Strobelt, Kar Wai Lim, Benjamin Hoover, Samuel C. Hoffman, Aleksandra Mojsilovic
2020	—	`conf`	exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models. ACL (demo) Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann
2019	J	`jnl`	exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformers Models. CoRR Benjamin Hoover, Hendrik Strobelt, Sebastian Gehrmann