Segev Shlomov

According to our database, Segev Shlomov authored at least 22 papers between 2017 and 2024.

Collaborative distances:

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

2024

ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents.

Ido Levy, Ben Wiesel, Sami Marreed, Alon Oved, Avi Yaeli, Segev Shlomov

CoRR, 2024

From Grounding to Planning: Benchmarking Bottlenecks in Web Agents.

Segev Shlomov, Ben Wiesel, Aviad Sela, Ido Levy, Liane Galanti, Roy Abitbol

CoRR, 2024

IDA: Breaking Barriers in No-code UI Automation Through Large Language Models and Human-Centric Design.

Segev Shlomov, Avi Yaeli, Sami Marreed, Sivan Schwartz, Netanel Eder, Offer Akrabi, Sergey Zeltyn

CoRR, 2024

SNAP: Semantic Stories for Next Activity Prediction.

Alon Oved, Segev Shlomov, Sergey Zeltyn, Nir Mashkif, Avi Yaeli

CoRR, 2024

Towards a Resilient Intelligent Automation System.

Segev Shlomov, Sami Marreed, Avi Yaeli

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition.

Hadar Mulian, Segev Shlomov, Lior Limonad, Alessia Noccaro, Silvia Buscaglione

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition.

Hadar Mulian, Segev Shlomov, Lior Limonad

CoRR, 2023

Ongoing Tracking of Engagement in Motor Learning.

Segev Shlomov, Jonathan Muehlstein, Nitzan Guetta, Lior Limonad

CoRR, 2023

Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges.

Sivan Schwartz, Avi Yaeli, Segev Shlomov

CoRR, 2023

2022

Understanding the Properties of Generated Corpora.

Naama Zwerdling, Segev Shlomov, Esther Goldbraich, George Kour, Boaz Carmeli, Naama Tepper, Inbal Ronen, Vitaly Zabershinsky, Ateret Anaby-Tavor

CoRR, 2022

Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration.

Sergey Zeltyn, Segev Shlomov, Avi Yaeli, Alon Oved

Proceedings of the Workshop on Process Management in the AI Era (PMAI 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Recommending Next Best Skill in Conversational Robotic Process Automation.

Avi Yaeli, Segev Shlomov, Alon Oved, Sergey Zeltyn, Nir Mashkif

Proceedings of the Business Process Management: Blockchain, Robotic Process Automation, and Central and Eastern Europe Forum, 2022

2021

Robust learning in social networks via matrix scaling.

Yakov Babichenko, Segev Shlomov

Oper. Res. Lett., 2021

Virtually additive learning.

Itai Arieli, Yakov Babichenko, Segev Shlomov

J. Econ. Theory, 2021

We've had this conversation before: A Novel Approach to Measuring Dialog Similarity.

Ofer Lavi, Ella Rabinovich, Segev Shlomov, David Boaz, Inbal Ronen, Ateret Anaby-Tavor

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Statistical Significance Testing for Natural Language Processing

Rotem Dror, Lotem Peled-Cohen, Segev Shlomov, Roi Reichart

Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02174-9, 2020

Do Not Have Enough Data? Deep Learning to the Rescue!

Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Not Enough Data? Deep Learning to the Rescue!

Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling

CoRR, 2019

Robust Non-Bayesian Social Learning.

Itai Arieli, Yakov Babichenko, Segev Shlomov

Proceedings of the 2019 ACM Conference on Economics and Computation, 2019

Deep Dominance - How to Properly Compare Deep Neural Models.

Rotem Dror, Segev Shlomov, Roi Reichart

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

The Hitchhiker's Guide to Testing Statistical Significance in Natural Language Processing.

Rotem Dror, Gili Baumer, Segev Shlomov, Roi Reichart

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Set-SMAA for finding preferable multi-objective solutions.

Rotem Dror, Amir Kantor, Michael Masin, Segev Shlomov

Proceedings of the Genetic and Evolutionary Computation Conference, 2017