Samuel Ackerman

28 papers Journal 25Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluating perturbation robustnessof generative systems that use COBOL code inputs. CoRR Samuel Ackerman, Wesam Ibraheem, Orna Raz, Marcel Zalmanovici
2025	J	`jnl`	PACIFIC: a framework for generating benchmarks to check Precise Automatically Checked Instruction Following In Code. CoRR Itay Dreyfuss, Antonio Abu Nassar, Samuel Ackerman, Axel Bendavid, Eitan Farchi, Rami Katan, Orna Raz, Marcel Zalmanovici
2025	J	`jnl`	Statistical multi-metric evaluation and visualization of LLM system predictive performance. CoRR Samuel Ackerman, Eitan Farchi, Orna Raz, Assaf Toledo
2024	—	`conf`	A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios. EMNLP (Findings) Samuel Ackerman, Ella Rabinovich, Eitan Farchi, Ateret Anaby-Tavor
2024	J	`jnl`	A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios. CoRR Samuel Ackerman, Ella Rabinovich, Eitan Farchi, Ateret Anaby-Tavor
2024	J	`jnl`	Using Combinatorial Optimization to Design a High quality LLM Solution. CoRR Samuel Ackerman, Eitan Farchi, Rami Katan, Orna Raz
2023	J	`jnl`	Automatic Generation of Attention Rules For Containment of Machine Learning Model Errors. CoRR Samuel Ackerman, Axel Bendavid, Eitan Farchi, Orna Raz
2023	J	`jnl`	Characterizing how 'distributional' NLP corpora distance metrics are. CoRR Samuel Ackerman, George Kour, Eitan Farchi
2023	J	`jnl`	Data Drift Monitoring for Log Anomaly Detection Pipelines. CoRR Dipak Wani, Samuel Ackerman, Eitan Farchi, Xiaotong Liu, Hau-Wen Chang, Sarasi Lalithsena
2023	J	`jnl`	Deploying automated ticket router across the enterprise. AI Mag. Samuel Ackerman, Lincoln Alexander, Margaret Bennett, Donglin Chen, Eitan Farchi, Autumn Houseknecht, Padmanabhan Santhanam
2023	J	`jnl`	Predicting Question-Answering Performance of Large Language Models through Semantic Consistency. CoRR Ella Rabinovich, Samuel Ackerman, Orna Raz, Eitan Farchi, Ateret Anaby-Tavor
2023	—	`conf`	Reliable and Interpretable Drift Detection in Streams of Short Texts. ACL (industry) Ella Rabinovich, Matan Vetzler, Samuel Ackerman, Ateret Anaby-Tavor
2023	J	`jnl`	Reliable and Interpretable Drift Detection in Streams of Short Texts. CoRR Ella Rabinovich, Matan Vetzler, Samuel Ackerman, Ateret Anaby-Tavor
2022	J	`jnl`	Experiment Based Crafting and Analyzing of Machine Learning Solutions. CoRR Samuel Ackerman, Eitan Farchi, Orna Raz, Onn Shehory
2022	J	`jnl`	High-quality Conversational Systems. CoRR Samuel Ackerman, Ateret Anaby-Tavor, Eitan Farchi, Esther Goldbraich, George Kour, Ella Rabinovich, Orna Raz, Saritha Route, Marcel Zalmanovici, Naama Zwerdling
2022	J	`jnl`	Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora. CoRR George Kour, Samuel Ackerman, Orna Raz, Eitan Farchi, Boaz Carmeli, Ateret Anaby-Tavor
2021	J	`jnl`	Automatically detecting data drift in machine learning classifiers. CoRR Samuel Ackerman, Orna Raz, Marcel Zalmanovici, Aviad Zlotnick
2021	J	`jnl`	Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation. CoRR George Kour, Marcel Zalmanovici, Orna Raz, Samuel Ackerman, Ateret Anaby-Tavor
2021	J	`jnl`	Density-based interpretable hypercube region partitioning for mixed numeric and categorical data. CoRR Samuel Ackerman, Eitan Farchi, Orna Raz, Marcel Zalmanovici, Maya Zohar
2021	J	`jnl`	Detecting model drift using polynomial relations. CoRR Eliran Roffe, Samuel Ackerman, Orna Raz, Eitan Farchi
2021	J	`jnl`	FreaAI: Automated extraction of data slices to test machine learning models. CoRR Samuel Ackerman, Orna Raz, Marcel Zalmanovici
2021	—	`conf`	Machine Learning Model Drift Detection Via Weak Data Slices. DeepTest@ICSE Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici
2021	J	`jnl`	Machine Learning Model Drift Detection Via Weak Data Slices. CoRR Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici
2021	J	`jnl`	Towards API Testing Across Cloud and Edge. CoRR Samuel Ackerman, Sanjib Choudhury, Nirmit Desai, Eitan Farchi, Dan Gisolfi, Andrew Hicks, Saritha Route, Diptikalyan Saha
2021	J	`jnl`	Using sequential drift detection to test the API economy. CoRR Samuel Ackerman, Parijat Dube, Eitan Farchi
2020	J	`jnl`	Detection of data drift and outliers affecting machine learning model performance over time. CoRR Samuel Ackerman, Eitan Farchi, Orna Raz, Marcel Zalmanovici, Parijat Dube
2020	J	`jnl`	Sequential Drift Detection in Deep Learning Classifiers. CoRR Samuel Ackerman, Parijat Dube, Eitan Farchi
2019	J	`jnl`	Consistency of survey opinions and external data. Comput. Stat. Samuel Ackerman