Set-SMAA for finding preferable multi-objective solutions. - Rotem Dror; Amir Kantor; Michael Masin; Segev Shlomov (GECCO (Companion), 2017)

The Hitchhiker's Guide to Testing Statistical Significance in Natural Language Processing. - Rotem Dror; Gili Baumer; Segev Shlomov; Roi Reichart (ACL (1), 2018)

Deep Dominance - How to Properly Compare Deep Neural Models. - Rotem Dror; Segev Shlomov; Roi Reichart (ACL (1), 2019)

Robust Non-Bayesian Social Learning. - Itai Arieli; Yakov Babichenko; Segev Shlomov (EC, 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)

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 (AAAI, 2020)

Statistical Significance Testing for Natural Language Processing - Rotem Dror; Lotem Peled-Cohen; Segev Shlomov; Roi Reichart (Morgan & Claypool Publishers, 2020)

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 (EMNLP (1), 2021)

Virtually additive learning. - Itai Arieli; Yakov Babichenko; Segev Shlomov (J. Econ. Theory, 2021)

Robust learning in social networks via matrix scaling. - Yakov Babichenko; Segev Shlomov (Oper. Res. Lett., 2021)

Recommending Next Best Skill in Conversational Robotic Process Automation. - Avi Yaeli; Segev Shlomov; Alon Oved; Sergey Zeltyn; Nir Mashkif (BPM (Blockchain and RPA Forum), 2022)

Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot Orchestration. - Sergey Zeltyn; Segev Shlomov; Avi Yaeli; Alon Oved (PMAI@IJCAI, 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)

Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges. - Sivan Schwartz; Avi Yaeli; Segev Shlomov (CoRR, 2023)

Ongoing Tracking of Engagement in Motor Learning. - Segev Shlomov; Jonathan Muehlstein; Nitzan Guetta; Lior Limonad (CoRR, 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)

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 (AAAI, 2024)

Towards a Resilient Intelligent Automation System. - Segev Shlomov; Sami Marreed; Avi Yaeli (IJCAI, 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)

From Grounding to Planning: Benchmarking Bottlenecks in Web Agents. - Segev Shlomov; Ben Wiesel; Aviad Sela; Ido Levy; Liane Galanti; Roy Abitbol (CoRR, 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)

SNAP: Semantic Stories for Next Activity Prediction. - Alon Oved; Segev Shlomov; Sergey Zeltyn; Nir Mashkif; Avi Yaeli (AAAI, 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, 2025)