Meirav Segal

12 papers Journal 5Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Content-Based Framework for Cybersecurity Refusal Decisions in Large Language Models.
CoRR
Noa Linder, Meirav Segal, Omer Antverg, Gil Gekker, Tomer Fichman, Omri Bodenheimer, Edan Maor, Omer Nevo
2025 — —
Algorithmic Fairness and Recourse for Allocation Policies.
Meirav Segal
2025 J jnl
Leveraging LLM Inconsistency to Boost Pass@k Performance.
CoRR
Uri Dalal, Meirav Segal, Zvika Ben-Haim, Dan Lahav, Omer Nevo
2025 J jnl
What Makes an Evaluation Useful? Common Pitfalls and Best Practices.
CoRR
Gil Gekker, Meirav Segal, Dan Lahav, Omer Nevo
2024 — conf
Better Luck Next Time: About Robust Recourse in Binary Allocation Problems.
xAI (3)
Meirav Segal, Anne-Marie George, Ingrid Chieh Yu, Christos Dimitrakakis
2024 — conf
Threshold Recourse for Dynamic Allocations.
EWAF
Meirav Segal, Anne-Marie George, Christos Dimitrakakis
2023 — conf
Policy Fairness and Unknown Bias Dynamics in Sequential Allocations.
EAAMO
Meirav Segal, Anne-Marie George, Christos Dimitrakakis
2022 — conf
On Meritocracy in Optimal Set Selection.
EAAMO
Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Anne-Marie George, Christos Dimitrakakis
2022 — conf
Simulating University Application Data for Fair Matchings.
NAIS
Meirav Segal, Anne-Marie George, Christos Dimitrakakis
2021 J jnl
Fair Set Selection: Meritocracy and Social Welfare.
CoRR
Thomas Kleine Buening, Meirav Segal, Debabrota Basu, Christos Dimitrakakis
2019 — conf
Learning a Faceted Customer Segmentation for Discovering new Business Opportunities at Intel.
IEEE BigData
Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope
2019 J jnl
Learning a faceted customer segmentation for discovering new business opportunities at Intel.
CoRR
Itay Lieder, Meirav Segal, Eran Avidan, Asaf Cohen, Tom Hope