Leveraging LLM Inconsistency to Boost Pass@k Performance [Link]
Uri Dalal, Meirav Segal, Zvika Ben-Haim, Dan Lahav, Omer Nevo
Preprint
What Makes an Evaluation Useful? Common Pitfalls and Best Practices [Link]
Gil Gekker, Meirav Segal, Dan Lahav, Omer Nevo
Frontier AI Safety Framework Conference (FAISC) 2024
Threshold Recourse for Dynamic Allocations [Link]
Meirav Segal, Anne-Marie George, Christos Dimitrakakis
European Workshop on Algorithmic Fairness (EWAF'24) [Link]
Allocating Bonus Points in Sequential Matchings with Preference Dynamics
Meirav Segal, Leqi Liu, Anne-Marie George, Christos Dimitrakakis and Hoda Heidari
Algorithmic Fairness through the Lens of Time - NeurIPS 2023 Workshop [Link]
Better Luck Next Time: About Robust Recourse in Binary Allocation Problems [Link]
Policy Fairness and Unknown Bias Dynamics in Sequential Allocations [Link]
On Meritocracy in Optimal Set Selection [Link]
Thomas Kleine Buning, Meirav Segal, Debabrota Basu, Christos Dimitrakakis, Anne-Marie Georg
ACM conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO) 2022 [Link], Best Paper with Student Presenter
Simulating University Application Data for Fair Matchings [Link]
Meirav Segal, Anne-Marie George and Christos Dimitrakakis
Norwegian AI Society Symposium (NAIS) 2022 [Link]
Reinforcement Learning and Decision Making Under Uncertainty, University of Oslo
Spring 2022, Grading
Spring 2023, Teaching Assistant
Introduction to Computer Science, The Hebrew University of Jerusalem, Fall 2017, Teaching Assistant
Program Committee Member and Publicity Co-Chair: EWAF 2023
Reviewer: AISTATS 2023, EWAF 2023, xAI 2024, EWAF 2024, SATA@NeurIPS 2024
NORDIC AI MEET '21
(Poster)
NAIS'22
(Oral Presentation)
EWAF'22
(Lightning Round)
FAccT'22
(Doctoral Consortium)