Nurit Cohen-Inger

According to our database, Nurit Cohen-Inger authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

PeerRank: Autonomous LLM Evaluation Through Web-Grounded, Bias-Controlled Peer Review.

Yanki Margalit, Erni Avram, Ran Taig, Oded Margalit, Nurit Cohen-Inger

CoRR, February, 2026

DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance.

Seffi Cohen, Nurit Cohen-Inger, Niv Goldshlager, Bracha Shapira, Lior Rokach

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification.

Nurit Cohen-Inger, Lior Rokach, Bracha Shapira, Seffi Cohen

CoRR, January, 2025

BiasGuard: Guardrailing Fairness in Machine Learning Production Systems.

Nurit Cohen-Inger, Seffi Cohen, Neomi Rabaev, Lior Rokach, Bracha Shapira

CoRR, January, 2025

Forget What You Know about LLMs Evaluations - LLMs are Like a Chameleon.

Nurit Cohen-Inger, Yehonatan Elisha, Bracha Shapira, Lior Rokach, Seffi Cohen

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

DiFair-LLM: Evaluating Fairness Disparities in LLMs Toward Demographic Groups.

Nurit Cohen-Inger, Roei Zaady, Adir Solomon, Lior Rokach, Bracha Shapira

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

BagStacking: An Integrated Ensemble Learning Approach for Freezing of Gait Detection in Parkinson's Disease.

Seffi Cohen, Nurit Cohen-Inger, Lior Rokach

Inf., 2024

FairUS - UpSampling Optimized Method for Boosting Fairness.

Nurit Cohen-Inger, Guy Rozenblatt, Seffi Cohen, Lior Rokach, Bracha Shapira

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2021

ICU Survival Prediction Incorporating Test-Time Augmentation to Improve the Accuracy of Ensemble-Based Models.

Seffi Cohen, Noa Dagan, Nurit Cohen-Inger, Dan Ofer, Lior Rokach

IEEE Access, 2021