Michal Shlapentokh-Rothman

According to our database, Michal Shlapentokh-Rothman authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Can We Generate Visual Programs Without Prompting LLMs?

Michal Shlapentokh-Rothman, Yu-Xiong Wang, Derek Hoiem

CoRR, 2024

WebWISE: Unlocking Web Interface Control for LLMs via Sequential Exploration.

Heyi Tao, Sethuraman TV, Michal Shlapentokh-Rothman, Tanmay Gupta, Heng Ji, Derek Hoiem

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System.

Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models.

Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman, Haohan Wang, Yu-Xiong Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Region-Based Representations Revisited.

Michal Shlapentokh-Rothman, Ansel Blume, Yao Xiao, Yuqun Wu, Sethuraman TV, Heyi Tao, Jae Yong Lee, Wilfredo Torres, Yu-Xiong Wang, Derek Hoiem

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

WebWISE: Web Interface Control and Sequential Exploration with Large Language Models.

Heyi Tao, Sethuraman TV, Michal Shlapentokh-Rothman, Derek Hoiem

CoRR, 2023

2021

Learning Curves for Analysis of Deep Networks.

Derek Hoiem, Tanmay Gupta, Zhizhong Li, Michal Shlapentokh-Rothman

Proceedings of the 38th International Conference on Machine Learning, 2021

Coevolutionary modeling of cyber attack patterns and mitigations using public datasets.

Michal Shlapentokh-Rothman, Jonathan Kelly, Avital Baral, Erik Hemberg, Una-May O'Reilly

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

BRON - Linking Attack Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations.

Erik Hemberg, Jonathan Kelly, Michal Shlapentokh-Rothman, Bryn Marie Reinstadler, Katherine Xu, Nick Rutar, Una-May O'Reilly

CoRR, 2020

Securing the software defined perimeter with evolutionary co-optimization.

Michal Shlapentokh-Rothman, Erik Hemberg, Una-May O'Reilly

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020