Ateret Anaby-Tavor

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 23

Top Topics

Data Sparseness

Conversational Agents

Top Venues

EMNLP (Industry Track)

Publications

Tal Reiss, George Kour, Naama Zwerdling, Ateret Anaby-Tavor, Yedid Hoshen
From Zero to Hero: Cold-Start Anomaly Detection. ACL (Findings) (2024)
Koren Lazar, Matan Vetzler, Guy Uziel, David Boaz, Esther Goldbraich, David Amid, Ateret Anaby-Tavor
SpeCrawler: Generating OpenAPI Specifications from API Documentation Using Large Language Models. CoRR (2024)
Eran Hirsch, Guy Uziel, Ateret Anaby-Tavor
What's the Plan? Evaluating and Developing Planning-Aware Techniques for LLMs. CoRR (2024)
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 (2024)
Tal Reiss, George Kour, Naama Zwerdling, Ateret Anaby-Tavor, Yedid Hoshen
From Zero to Hero: Cold-Start Anomaly Detection. CoRR (2024)
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 (2023)
Ella Rabinovich, Matan Vetzler, Samuel Ackerman, Ateret Anaby-Tavor
Reliable and Interpretable Drift Detection in Streams of Short Texts. ACL (industry) (2023)
Ella Rabinovich, Matan Vetzler, Samuel Ackerman, Ateret Anaby-Tavor
Reliable and Interpretable Drift Detection in Streams of Short Texts. CoRR (2023)
Adir Rahamim, Guy Uziel, Esther Goldbraich, Ateret Anaby-Tavor
Text Augmentation Using Dataset Reconstruction for Low-Resource Classification. ACL (Findings) (2023)
Ella Rabinovich, Samuel Ackerman, Orna Raz, Eitan Farchi, Ateret Anaby-Tavor
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency. CoRR (2023)
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 (2022)
Ella Rabinovich, Matan Vetzler, David Boaz, Vineet Kumar, Gaurav Pandey, Ateret Anaby-Tavor
Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems. EMNLP (Industry Track) (2022)
Naama Zwerdling, Segev Shlomov, Esther Goldbraich, George Kour, Boaz Carmeli, Naama Tepper, Inbal Ronen, Vitaly Zabershinsky, Ateret Anaby-Tavor
Understanding the Properties of Generated Corpora. CoRR (2022)
Ella Rabinovich, Matan Vetzler, David Boaz, Vineet Kumar, Gaurav Pandey, Ateret Anaby-Tavor
Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems. CoRR (2022)
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 (2022)
Ofer Lavi, Ella Rabinovich, Segev Shlomov, David Boaz, Inbal Ronen, Ateret Anaby-Tavor
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity. CoRR (2021)
Eyal Ben-David, Boaz Carmeli, Ateret Anaby-Tavor
Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead. CoRR (2021)
Ofer Lavi, Ella Rabinovich, Segev Shlomov, David Boaz, Inbal Ronen, Ateret Anaby-Tavor
We've had this conversation before: A Novel Approach to Measuring Dialog Similarity. EMNLP (1) (2021)
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 (2021)
Naama Tepper, Esther Goldbraich, Naama Zwerdling, George Kour, Ateret Anaby-Tavor, Boaz Carmeli
Balancing via Generation for Multi-Class Text Classification Improvement. EMNLP (Findings) (2020)
Alon Jacovi, Ori Bar El, Ofer Lavi, David Boaz, David Amid, Inbal Ronen, Ateret Anaby-Tavor
Improving Task-Oriented Dialogue Systems In Production with Conversation Logs. Converse@KDD (2020)
Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling
Do Not Have Enough Data? Deep Learning to the Rescue! AAAI (2020)
Ateret Anaby-Tavor, Boaz Carmeli, Esther Goldbraich, Amir Kantor, George Kour, Segev Shlomov, Naama Tepper, Naama Zwerdling
Not Enough Data? Deep Learning to the Rescue! CoRR (2019)
Meirav Taieb-Maimon, Lior Limonad, David Amid, David Boaz, Ateret Anaby-Tavor
Evaluating Multivariate Visualizations as Multi-objective Decision Aids. INTERACT (1) (2013)
Shahar Chen, David Amid, Ofer M. Shir, Lior Limonad, David Boaz, Ateret Anaby-Tavor, Tobias Schreck
Self-organizing maps for multi-objective pareto frontiers. PacificVis (2013)
Ofer M. Shir, Shahar Chen, David Amid, David Boaz, Ateret Anaby-Tavor, Dmitry Moor
Pareto optimization and tradeoff analysis applied to meta-learning of multiple simulation criteria. WSC (2013)
Lior Limonad, Lav R. Varshney, Daniel V. Oppenheim, Elad Fein, Pnina Soffer, Yair Wand, Moran Gavish, Ateret Anaby-Tavor
The WaaSaBE Model: Marrying WaaS and Business-Entities to Support Cross-Organization Collaboration. SRII Global Conference (2012)
Ateret Anaby-Tavor, David Amid, Amit Fisher, Avivit Bercovici, Harold Ossher, Matthew Callery, Michael Desmond, Sophia Krasikov, Ian Simmonds
Insights into enterprise conceptual modeling. Data Knowl. Eng. 69 (12) (2010)
Harold Ossher, Rachel K. E. Bellamy, Ian Simmonds, David Amid, Ateret Anaby-Tavor, Matthew Callery, Michael Desmond, Jacqueline de Vries, Amit Fisher, Sophia Krasikov
Flexible modeling tools for pre-requirements analysis: conceptual architecture and research challenges. OOPSLA (2010)
Harold Ossher, David Amid, Ateret Anaby-Tavor, Rachel K. E. Bellamy, Matthew Callery, Michael Desmond, Jackie De Vries, Amit Fisher, Sophia Krasikov, Ian Simmonds, Calvin Swart
Using tagging to identify and organize concerns during pre-requirements analysis. EA@ICSE (2009)
Ateret Anaby-Tavor, David Amid, Amit Fisher, Harold Ossher, Rachel K. E. Bellamy, Matthew Callery, Michael Desmond, Sophia Krasikov, Tova Roth, Ian Simmonds, Jacqueline de Vries
An algorithm for identifying the abstract syntax of graph-based diagrams. VL/HCC (2009)
Ateret Anaby-Tavor, David Amid, Amit Fisher, Harold Ossher, Rachel K. E. Bellamy, Matthew Callery, Michael Desmond, Sophia Krasikov, Tova Roth, Ian Simmonds, Jacqueline de Vries
An Empirical Study of Enterprise Conceptual Modeling. ER (2009)
Harold Ossher, Rachel K. E. Bellamy, David Amid, Ateret Anaby-Tavor, Matthew Callery, Michael Desmond, Jacqueline de Vries, Amit Fisher, Thomas Frauenhofer, Sophia Krasikov, Ian Simmonds, Calvin Swart
Business insight toolkit: Flexible pre-requirements modeling. ICSE Companion (2009)
Ateret Anaby-Tavor, David Amid, Aviad Sela, Amit Fisher, Kuo Zhang, Ou Tie Jun
Towards a Model Driven Service Engineering Process. SERVICES I (2008)
Avigdor Gal, Ateret Anaby-Tavor, Alberto Trombetta, Danilo Montesi
A framework for modeling and evaluating automatic semantic reconciliation. VLDB J. 14 (1) (2005)
Avigdor Gal, Alberto Trombetta, Ateret Anaby-Tavor, Danilo Montesi
A Model for Schema Integration in Heterogeneous Databases. IDEAS (2003)
Ateret Anaby-Tavor, Avigdor Gal, Alberto Trombetta
Evaluating Matching Algorithms: the Monotonicity Principle. IIWeb (2003)