publications

Messier: A High-Resolution Corpus for Cross-Benchmark Agent Evaluation

S. Krsteski, C. Meyer, G. Allegre, T. O'Halloran, A. Sallinen

ACL Rolling Review, 2026. Under review.

Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification

S. Krsteski, G. Russo, S. Chang, R. West, K. Gligorić

ACL Main, 2026. Top 15% of accepted papers.

House Rules: Institutional Design in Multi-Agent LLM Code Markets

T. O'Halloran, A. Zhuang, M. Zhang, T. Soubeste, A. Sallinen, S. Krsteski, C. Meyer, G. Allegre, K. Seiler

ICML: AIWILD, 2026.

Towards Open Foundation Language Model and Corpus for Macedonian: A Low-Resource Language

S. Krsteski, M. Tashkovska, B. Sazdov, H. Gjoreski, B. Gerazov

ACL: BSNLP, 2025. Best paper award.

MMORE: Massive Multimodal Open RAG & Extraction

A. Sallinen, S. Krsteski, P. Teiletche, M. Allard, B. Lecoeur, M. Zhang, F. Nemo, D. Kalajdzic, M. Meyer, Mary-Anne Hartley

ICML: CODEML, 2025.

Predictive models for health-related quality of life built on two telemonitoring datasets

*S. Krsteski, *M. Tashkovska, E. Kizhevska, J. Valič, H. Gjoreski, M. Luštrek

PLOS ONE, 2024.

A System for Differentiation of Schizophrenia and Bipolar Disorder based on rsfMRI

D. Janeva, S. Krsteski, M. Tashkovska, N. Jovanovski, T. Kartalov, D. Taskovski, Z. Ivanovski, B. Gerazov

IWSSIP, 2023.

Prediction of Hospital Readmission using Federated Learning

B. Sazdov, M. Tashkovska, S. Krsteski, B. Jovanovski, S. Kalabakov, V. Rakovic, D. Denkovski, H. Gjoreski

IWSSIP, 2023.

Intrusion Detection with Supervised and Unsupervised Learning using PyCaret over CICIDS 2017 dataset

S. Krsteski, M. Tashkovska, B. Sazdov, L. Radojichikj, A. Cholakoska, D. Efnusheva

Springer Nature: CSOC, 2023.

Academic Service

Reviewer, NeurIPS 2026 (main conference)

Reviewer, ICWSM