Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Towards Enforcing Company Policy Adherence in Agentic Workflows.

[BibT_eX]

[DOI]

Naama Zwerdling

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Effective Red-Teaming of Policy-Adherent Agents.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Generating OpenAPI Specifications from Online API Documentation with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

Think Again! The Effect of Test-Time Compute on Preferences, Opinions, and Beliefs of Large Language Models.

[BibT_eX]

[DOI]

George Kour

Itay Nakash

Michal Shmueli-Scheuer

Ateret Anaby-Tavor

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

2024

Exploring Straightforward Conversational Red-Teaming.

[BibT_eX]

[DOI]

CoRR, 2024

Detectors for Safe and Reliable LLMs: Implementations, Uses, and Limitations.

[BibT_eX]

[DOI]

CoRR, 2024

SpeCrawler: Generating OpenAPI Specifications from API Documentation Using Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

What's the Plan? Evaluating and Developing Planning-Aware Techniques for LLMs.

[BibT_eX]

[DOI]

Eran Hirsch

Guy Uziel

Ateret Anaby-Tavor

CoRR, 2024

A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

From Zero to Hero: Cold-Start Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Unveiling Safety Vulnerabilities of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Predicting Question-Answering Performance of Large Language Models through Semantic Consistency.

[BibT_eX]

[DOI]

CoRR, 2023

Text Augmentation Using Dataset Reconstruction for Low-Resource Classification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Reliable and Interpretable Drift Detection in Streams of Short Texts.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), 2023

2022

Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text Corpora.

[BibT_eX]

[DOI]

CoRR, 2022

Understanding the Properties of Generated Corpora.

[BibT_eX]

[DOI]

CoRR, 2022

High-quality Conversational Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Gaining Insights into Unrecognized User Utterances in Task-Oriented Dialog Systems.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021

Classifier Data Quality: A Geometric Complexity Based Method for Automated Baseline And Insights Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Improved Goal Oriented Dialogue via Utterance Generation and Look Ahead.

[BibT_eX]

[DOI]

Eyal Ben-David

Boaz Carmeli

Ateret Anaby-Tavor

CoRR, 2021

We've had this conversation before: A Novel Approach to Measuring Dialog Similarity.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Improving Task-Oriented Dialogue Systems In Production with Conversation Logs.

[BibT_eX]

[DOI]

Proceedings of the KDD 2020 Workshop on Conversational Systems Towards Mainstream Adoption co-located with the 26TH ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2020), 2020

Balancing via Generation for Multi-Class Text Classification Improvement.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Do Not Have Enough Data? Deep Learning to the Rescue!

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Not Enough Data? Deep Learning to the Rescue!

[BibT_eX]

[DOI]

CoRR, 2019

2013

Pareto optimization and tradeoff analysis applied to meta-learning of multiple simulation criteria.

[BibT_eX]

[DOI]

Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Evaluating Multivariate Visualizations as Multi-objective Decision Aids.

[BibT_eX]

[DOI]

Proceedings of the Human-Computer Interaction - INTERACT 2013, 2013

Self-organizing maps for multi-objective pareto frontiers.

[BibT_eX]

[DOI]

Proceedings of the IEEE Pacific Visualization Symposium, 2013

2012

The WaaSaBE Model: Marrying WaaS and Business-Entities to Support Cross-Organization Collaboration.

[BibT_eX]

[DOI]

Proceedings of the 2012 Annual SRII Global Conference, San Jose, CA, USA, July 24-27, 2012, 2012

2010

Insights into enterprise conceptual modeling.

[BibT_eX]

[DOI]

Data Knowl. Eng., 2010

Flexible modeling tools for pre-requirements analysis: conceptual architecture and research challenges.

[BibT_eX]

[DOI]

Proceedings of the 25th Annual ACM SIGPLAN Conference on Object-Oriented Programming, 2010

2009

An algorithm for identifying the abstract syntax of graph-based diagrams.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2009

Business insight toolkit: Flexible pre-requirements modeling.

[BibT_eX]

[DOI]

Proceedings of the 31st International Conference on Software Engineering, 2009

Using tagging to identify and organize concerns during pre-requirements analysis.

[BibT_eX]

[DOI]

Proceedings of the 2009 ICSE Workshop on Aspect-Oriented Requirements Engineering and Architecture Design, 2009

An Empirical Study of Enterprise Conceptual Modeling.

[BibT_eX]

[DOI]

Proceedings of the Conceptual Modeling, 2009

2008

Towards a Model Driven Service Engineering Process.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Congress on Services, Part I, 2008

2005

A framework for modeling and evaluating automatic semantic reconciliation.

[BibT_eX]

[DOI]

VLDB J., 2005

2003

Evaluating Matching Algorithms: the Monotonicity Principle.

[BibT_eX]

[DOI]

Ateret Anaby-Tavor

Avigdor Gal

Alberto Trombetta

Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), 2003

A Model for Schema Integration in Heterogeneous Databases.

[BibT_eX]

[DOI]

Proceedings of the 7th International Database Engineering and Applications Symposium (IDEAS 2003), 2003

Ateret Anaby-Tavor

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