The hitchhiker’s guide to testing statistical significance in natural language processing R Dror, G Baumer, S Shlomov, R Reichart Proceedings of the 56th annual meeting of the association for computational …, 2018 | 405 | 2018 |
Do not have enough data? Deep learning to the rescue! A Anaby-Tavor, B Carmeli, E Goldbraich, A Kantor, G Kour, S Shlomov, ... Proceedings of the AAAI conference on artificial intelligence 34 (05), 7383-7390, 2020 | 387 | 2020 |
Deep dominance-how to properly compare deep neural models R Dror, S Shlomov, R Reichart Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 143 | 2019 |
Statistical significance testing for natural language processing R Dror, L Peled-Cohen, S Shlomov, R Reichart Morgan & Claypool Publishers, 2020 | 53 | 2020 |
Enhancing trust in LLM-based AI automation agents: New considerations and future challenges S Schwartz, A Yaeli, S Shlomov arXiv preprint arXiv:2308.05391, 2023 | 15 | 2023 |
Robust non-Bayesian social learning I Arieli, Y Babichenko, S Shlomov Proceedings of the 2019 ACM Conference on Economics and Computation, 549-550, 2019 | 6 | 2019 |
Recommending next best skill in conversational robotic process automation A Yaeli, S Shlomov, A Oved, S Zeltyn, N Mashkif International Conference on Business Process Management, 215-230, 2022 | 5 | 2022 |
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity O Lavi, E Rabinovich, S Shlomov, D Boaz, I Ronen, A Anaby-Tavor arXiv preprint arXiv:2110.05780, 2021 | 5 | 2021 |
Prescriptive process monitoring in intelligent process automation with chatbot orchestration S Zeltyn, S Shlomov, A Yaeli, A Oved arXiv preprint arXiv:2212.06564, 2022 | 4 | 2022 |
Virtually additive learning I Arieli, Y Babichenko, S Shlomov Journal of Economic Theory 197, 105322, 2021 | 2 | 2021 |
Phase Transitions in Kyle's Model with Market Maker Profit Incentives CA Lehalle, E Neuman, S Shlomov arXiv preprint arXiv:2103.04481, 2021 | 2 | 2021 |
Pareto-efficient probabilistic solutions A Kantor, M Masin, S Shlomov, R Dror US Patent App. 15/905,988, 2019 | 2 | 2019 |
Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition H Mulian, S Shlomov, L Limonad, A Noccaro, S Buscaglione Proceedings of the AAAI Conference on Artificial Intelligence 38 (21), 23224 …, 2024 | 1 | 2024 |
Automatic measurement of semantic similarity of conversations O Lavi, I Ronen, E Rabinovich, D Boaz, D Amid, S Shlomov, ... US Patent 11,823,666, 2023 | 1 | 2023 |
Generating sorted lists of chat bot design nodes using escalation logs E Rabinovich, D Boaz, I Ronen, O Lavi, D Amid, S Shlomov, ... US Patent App. 17/495,488, 2023 | 1 | 2023 |
Language-model-based data augmentation method for textual classification tasks with little data A Kantor, AA Tavor, B Carmeli, E Goldbraich, G Kour, S Shlomov, ... US Patent 11,526,667, 2022 | 1 | 2022 |
Robust learning in social networks via matrix scaling Y Babichenko, S Shlomov Operations Research Letters 49 (5), 720-727, 2021 | 1 | 2021 |
SNAP: Semantic Stories for Next Activity Prediction A Oved, S Shlomov, S Zeltyn, N Mashkif, A Yaeli arXiv preprint arXiv:2401.15621, 2024 | | 2024 |
Message mapping and combination for intent classification S Shlomov, I Ronen, E Rabinovich, D Boaz, O Lavi, A Anaby-Tavor US Patent App. 17/653,452, 2023 | | 2023 |
Auto-Mates: The Future of No-Code Digital Apprentices S Shlomov, A Yaeli, R Brafman, X Wang, C Wang International Joint Conference on Artificial Intelligence, 2023 | | 2023 |