Segev Shlomov

According to our database, Segev Shlomov authored at least 33 papers between 2017 and 2026.

Collaborative distances:

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

2026

Agent Mentor: Framing Agent Knowledge through Semantic Trajectory Analysis.

Roi Ben-Gigi, Yuval David, Fabiana Fournier, Lior Limonad, Dany Moshkovich, Hadar Mulian, Segev Shlomov

CoRR, April, 2026

AgentFixer: From Failure Detection to Fix Recommendations in LLM Agentic Systems.

Hadar Mulian, Sergey Zeltyn, Ido Levy, Liane Galanti, Avi Yaeli, Segev Shlomov

CoRR, March, 2026

General Agent Evaluation.

Elron Bandel, Asaf Yehudai, Lilach Eden, Yehoshua Sagron, Yotam Perlitz, Elad Venezian, Natalia Razinkov, Natan Ergas, Shlomit Shachor Ifergan, Segev Shlomov, Michal Jacovi, Leshem Choshen, Liat Ein-Dor, Yoav Katz, Michal Shmueli-Scheuer

CoRR, February, 2026

TabAgent: A Framework for Replacing Agentic Generative Components with Tabular-Textual Classifiers.

Ido Levy, Eilam Shapira, Yinon Goldshtein, Avi Yaeli, Nir Mashkif, Segev Shlomov

CoRR, February, 2026

Textual Planning with Explicit Latent Transitions.

Eliezer Shlomi, Ido Levy, Eilam Shapira, Michael Katz, Guy Uziel, Segev Shlomov, Nir Mashkif, Roi Reichart, Sarah Keren

CoRR, February, 2026

TRUST-CUA: Trustworthy Computer-Using Generalist Agents for Intelligent User Interfaces (Workshop).

Toby Jia-Jun Li, Segev Shlomov, Xiang Deng, Ronen I. Brafman, Avi Yaeli, Zora Zhiruo Wang

Proceedings of the Companion Proceedings of the 31st International Conference on Intelligent User Interfaces, 2026

Governance by Construction for Generalist Agents.

Segev Shlomov, Iftach Shoham, Alon Oved, Ido Levy, Sami Marreed, Harold J. Ship, Offer Akrabi, Sergey Zeltyn, Avi Yaeli, Nir Mashkif

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

GeoAIAgent-Agentic workflow for automated geospatial data management.

Leonardo Pondian Tizzei, Gabrielle Nyirjesy, Levente J. Klein, Ildar Khabibrakhmanov, Maciel Zortea, Hiyam Debary, Mustansar Fiaz, James Barry, João Lucas de Sousa Almeida, Theodore van Kessel, Segev Shlomov, Juan Bernabé-Moreno

Proceedings of the 2026 International Workshop on Agentic Engineering, 2026

AgentFixer: From Failure Detection to Fix Recommendations in Agentic Systems.

Hadar Mulian, Sergey Zeltyn, Ido Levy, Liane Galanti, Avi Yaeli, Segev Shlomov

Proceedings of the 2026 International Workshop on Agentic Engineering, 2026

From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production.

Segev Shlomov, Alon Oved, Sami Marreed, Ido Levy, Offer Akrabi, Avi Yaeli, Lukasz Strak, Elizabeth Koumpan, Yinon Goldshtein, Eilam Shapira, Nir Mashkif, Asaf Adi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Enterprise-Ready Computer Using Generalist Agent.

Sami Marreed, Alon Oved, Avi Yaeli, Segev Shlomov, Ido Levy, Aviad Sela, Asaf Adi, Nir Mashkif

CoRR, March, 2025

From Grounding to Planning: Benchmarking Bottlenecks in Web Agents.

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

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

SNAP: Semantic Stories for Next Activity Prediction.

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

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

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