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ORCIDSamuel Ackerman
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2020 – today
- 2024
[i20]Samuel Ackerman, Eitan Farchi, Rami Katan, Orna Raz:
Using Combinatorial Optimization to Design a High quality LLM Solution. CoRR abs/2405.13020 (2024)- [i19]Samuel Ackerman, Ella Rabinovich, Eitan Farchi, Ateret Anaby-Tavor:
A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios. CoRR abs/2408.01963 (2024) - 2023
- [j2]Samuel Ackerman, Lincoln Alexander, Margaret Bennett, Donglin Chen, Eitan Farchi, Autumn Houseknecht, Padmanabhan Santhanam
:
Deploying automated ticket router across the enterprise. AI Mag. 44(1): 97-111 (2023) - [c2]Ella Rabinovich, Matan Vetzler, Samuel Ackerman, Ateret Anaby-Tavor:
Reliable and Interpretable Drift Detection in Streams of Short Texts. ACL (industry) 2023: 438-446 - [i18]Samuel Ackerman, Axel Bendavid, Eitan Farchi, Orna Raz:
Automatic Generation of Attention Rules For Containment of Machine Learning Model Errors. CoRR abs/2305.08115 (2023) - [i17]Ella Rabinovich, Matan Vetzler, Samuel Ackerman, Ateret Anaby-Tavor:
Reliable and Interpretable Drift Detection in Streams of Short Texts. CoRR abs/2305.17750 (2023) - [i16]Samuel Ackerman, George Kour, Eitan Farchi:
Characterizing how 'distributional' NLP corpora distance metrics are. CoRR abs/2310.14829 (2023) - [i15]Dipak Wani, Samuel Ackerman, Eitan Farchi, Xiaotong Liu, Hau-wen Chang, Sarasi Lalithsena:
Data Drift Monitoring for Log Anomaly Detection Pipelines. CoRR abs/2310.14893 (2023) - [i14]Ella Rabinovich, Samuel Ackerman, Orna Raz, Eitan Farchi, Ateret Anaby-Tavor:
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency. CoRR abs/2311.01152 (2023) - 2022
- [i13]Samuel Ackerman, Eitan Farchi, Orna Raz, Onn Shehory:
Experiment Based Crafting and Analyzing of Machine Learning Solutions. CoRR abs/2201.00355 (2022) - [i12]Samuel Ackerman, Ateret Anaby-Tavor, Eitan Farchi, Esther Goldbraich, George Kour, Ella Rabinovich, Orna Raz, Saritha Route, Marcel Zalmanovici, Naama Zwerdling:
High-quality Conversational Systems. CoRR abs/2204.13043 (2022) - [i11]George Kour, Samuel Ackerman, Orna Raz, Eitan Farchi, Boaz Carmeli, Ateret Anaby-Tavor:
Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora. CoRR abs/2211.16259 (2022) - 2021
- [c1]Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici:
Machine Learning Model Drift Detection Via Weak Data Slices. DeepTest@ICSE 2021: 1-8 - [i10]Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici:
Machine Learning Model Drift Detection Via Weak Data Slices. CoRR abs/2108.05319 (2021) - [i9]Samuel Ackerman, Orna Raz, Marcel Zalmanovici:
FreaAI: Automated extraction of data slices to test machine learning models. CoRR abs/2108.05620 (2021) - [i8]Samuel Ackerman, Sanjib Choudhury, Nirmit Desai, Eitan Farchi, Dan Gisolfi, Andrew Hicks, Saritha Route, Diptikalyan Saha:
Towards API Testing Across Cloud and Edge. CoRR abs/2109.02540 (2021) - [i7]Samuel Ackerman, Eitan Farchi, Orna Raz, Marcel Zalmanovici, Maya Zohar:
Density-based interpretable hypercube region partitioning for mixed numeric and categorical data. CoRR abs/2110.05430 (2021) - [i6]Eliran Roffe, Samuel Ackerman, Orna Raz, Eitan Farchi:
Detecting model drift using polynomial relations. CoRR abs/2110.12506 (2021) - [i5]Samuel Ackerman, Parijat Dube, Eitan Farchi:
Using sequential drift detection to test the API economy. CoRR abs/2111.05136 (2021) - [i4]Samuel Ackerman, Orna Raz, Marcel Zalmanovici, Aviad Zlotnick:
Automatically detecting data drift in machine learning classifiers. CoRR abs/2111.05672 (2021) - [i3]George Kour, Marcel Zalmanovici, Orna Raz, Samuel Ackerman, Ateret Anaby-Tavor:
Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation. CoRR abs/2112.11832 (2021) - 2020
- [i2]Samuel Ackerman, Parijat Dube, Eitan Farchi:
Sequential Drift Detection in Deep Learning Classifiers. CoRR abs/2007.16109 (2020) - [i1]Samuel Ackerman, Eitan Farchi, Orna Raz, Marcel Zalmanovici, Parijat Dube:
Detection of data drift and outliers affecting machine learning model performance over time. CoRR abs/2012.09258 (2020)
2010 – 2019
- 2019
- [j1]Samuel Ackerman:
Consistency of survey opinions and external data. Comput. Stat. 34(4): 1489-1509 (2019)
Coauthor Index
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