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2020 – today
- 2024
[i19]Swapnaja Achintalwar, Adriana Alvarado Garcia, Ateret Anaby-Tavor, Ioana Baldini, Sara E. Berger
, Bishwaranjan Bhattacharjee, Djallel Bouneffouf, Subhajit Chaudhury, Pin-Yu Chen, Lamogha Chiazor, Elizabeth M. Daly, Rogério Abreu de Paula, Pierre L. Dognin, Eitan Farchi, Soumya Ghosh, Michael Hind, Raya Horesh, George Kour, Ja Young Lee, Erik Miehling, Keerthiram Murugesan, Manish Nagireddy, Inkit Padhi, David Piorkowski, Ambrish Rawat, Orna Raz, Prasanna Sattigeri, Hendrik Strobelt, Sarathkrishna Swaminathan, Christoph Tillmann, Aashka Trivedi, Kush R. Varshney, Dennis Wei, Shalisha Witherspoon, Marcel Zalmanovici:
Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations. CoRR abs/2403.06009 (2024)- [i18]Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney:
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR abs/2403.09704 (2024) - [i17]Samuel Ackerman, Eitan Farchi, Rami Katan, Orna Raz:
Using Combinatorial Optimization to Design a High quality LLM Solution. CoRR abs/2405.13020 (2024) - [i16]Marcel Zalmanovici, Orna Raz, Eitan Farchi, Iftach Freund:
Generating Unseen Code Tests In Infinitum. CoRR abs/2407.19772 (2024) - [i15]Ora Nova Fandina, Leshem Choshen, Eitan Farchi, George Kour, Yotam Perlitz, Orna Raz:
Can You Trust Your Metric? Automatic Concatenation-Based Tests for Metric Validity. CoRR abs/2408.12259 (2024) - [i14]Eitan Farchi, Shmulik Froimovich, Rami Katan, Orna Raz:
Automatic Generation of Benchmarks and Reliable LLM Judgment for Code Tasks. CoRR abs/2410.21071 (2024) - 2023
- [i13]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) - [i12]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) - [i11]George Kour, Marcel Zalmanovici, Naama Zwerdling, Esther Goldbraich, Ora Nova Fandina, Ateret Anaby-Tavor, Orna Raz, Eitan Farchi:
Unveiling Safety Vulnerabilities of Large Language Models. CoRR abs/2311.04124 (2023) - 2022
- [i10]Samuel Ackerman, Eitan Farchi, Orna Raz, Onn Shehory:
Experiment Based Crafting and Analyzing of Machine Learning Solutions. CoRR abs/2201.00355 (2022) - [i9]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) - [i8]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
- [c20]Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici:
Machine Learning Model Drift Detection Via Weak Data Slices. DeepTest@ICSE 2021: 1-8 - [i7]Samuel Ackerman, Parijat Dube, Eitan Farchi, Orna Raz, Marcel Zalmanovici:
Machine Learning Model Drift Detection Via Weak Data Slices. CoRR abs/2108.05319 (2021) - [i6]Samuel Ackerman, Orna Raz, Marcel Zalmanovici:
FreaAI: Automated extraction of data slices to test machine learning models. CoRR abs/2108.05620 (2021) - [i5]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) - [i4]Eliran Roffe, Samuel Ackerman, Orna Raz, Eitan Farchi:
Detecting model drift using polynomial relations. CoRR abs/2110.12506 (2021) - [i3]Samuel Ackerman, Orna Raz, Marcel Zalmanovici, Aviad Zlotnick:
Automatically detecting data drift in machine learning classifiers. CoRR abs/2111.05672 (2021) - [i2]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
- [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
- [c19]Sima Nadler, Orna Raz, Marcel Zalmanovici:
Governance and Regulations Implications on Machine Learning (Brief Announcement). CSCML 2019: 208-211 - [c18]Guy Barash, Eitan Farchi, Ilan Jayaraman, Orna Raz, Rachel Tzoref-Brill, Marcel Zalmanovici:
Bridging the gap between ML solutions and their business requirements using feature interactions. ESEC/SIGSOFT FSE 2019: 1048-1058 - 2018
- [c17]Sujan Perera, Orna Raz, Ramani Routray, Shenghua Bao, Marcel Zalmanovici:
Optimizing Hierarchical Classification with Adaptive Node Collapses. AAAI Workshops 2018: 372-375 - [c16]Dale Blue, Orna Raz, Rachel Tzoref-Brill, Paul A. Wojciak, Marcel Zalmanovici:
Proactive and pervasive combinatorial testing. ICSE (SEIP) 2018: 144-152 - 2016
- [c15]Marcel Zalmanovici, Orna Raz, Rachel Tzoref-Brill:
Cluster-based test suite functional analysis. SIGSOFT FSE 2016: 962-967 - 2013
- [j1]Waldemar Hummer, Orna Raz, Onn Shehory, Philipp Leitner, Schahram Dustdar:
Testing of data-centric and event-based dynamic service compositions. Softw. Test. Verification Reliab. 23(6): 465-497 (2013) - 2012
- [c14]Orna Raz:
Reducing Costs While Increasing Quality. Haifa Verification Conference 2012: 4 - 2011
- [c13]Waldemar Hummer, Orna Raz, Schahram Dustdar:
Towards efficient measuring of web services API coverage. PESOS@ICSE 2011: 22-28 - [c12]Yoram Adler, Noam Behar, Orna Raz, Onn Shehory, Nadav Steindler, Shmuel Ur, Aviad Zlotnick:
Code coverage analysis in practice for large systems. ICSE 2011: 736-745 - [c11]Waldemar Hummer, Orna Raz, Onn Shehory, Philipp Leitner, Schahram Dustdar:
Test Coverage of Data-Centric Dynamic Compositions in Service-Based Systems. ICST 2011: 40-49 - [e1]Sharon Barner, Ian G. Harris, Daniel Kroening, Orna Raz:
Hardware and Software: Verification and Testing - 6th International Haifa Verification Conference, HVC 2010, Haifa, Israel, October 4-7, 2010. Revised Selected Papers. Lecture Notes in Computer Science 6504, Springer 2011, ISBN 978-3-642-19582-2 [contents]
2000 – 2009
- 2009
- [c10]Yoram Adler, Eitan Farchi, Moshe Klausner, Dan Pelleg, Orna Raz, Moran Shochat, Shmuel Ur, Aviad Zlotnick:
Automated substring hole analysis. ICSE Companion 2009: 203-206 - [c9]Yoram Adler, Eitan Farchi, Moshe Klausner, Dan Pelleg, Orna Raz, Moran Shochat, Shmuel Ur, Aviad Zlotnick:
Advanced code coverage analysis using substring holes. ISSTA 2009: 37-46 - [c8]Aviad Zlotnick, Orna Raz:
Hardware-less testing for RAS software. SYSTOR 2009: 17 - 2008
- [c7]Moran Shochat, Orna Raz, Eitan Farchi:
SeeCode - A Code Review Plug-in for Eclipse. Haifa Verification Conference 2008: 205-209 - 2007
- [c6]Orna Raz, Moshe Klausner, Nitzan Peleg, Gadi Haber, Eitan Farchi, Shachar Fienblit, Yakov S. Filiarsky, Shay Gammer, Sergey Novikov:
The Advantages of Post-Link Code Coverage. Haifa Verification Conference 2007: 235-251 - 2004
- [c5]Orna Raz, Rebecca B. Buchheit, Mary Shaw, Philip Koopman, Christos Faloutsos:
Automated Assistance for Eliciting User Expectations. SEKE 2004: 80-85 - 2002
- [c4]Orna Raz, Philip Koopman, Mary Shaw:
Semantic anomaly detection in online data sources. ICSE 2002: 302-312 - [c3]Orna Raz:
Research abstract for semantic detection in dynamic data feeds with incomplete specifications. ICSE 2002: 733-734 - [c2]Orna Raz, Philip Koopman, Mary Shaw:
Enabling automatic adaptation in systems with under-specified elements. WOSS 2002: 55-60 - 2000
- [c1]Orna Raz, Mary Shaw:
An Approach to Preserving Sufficient Correctness in Open Resource Coalitions. IWSSD 2000: 159-170
Coauthor Index
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