Published in Under review at ICLR 2026, 2025
This paper introduces a novel Bayesian framework for evaluating LLMs, improving robustness and reducing computational costs with fewer trials.
Recommended citation: Hariri, M., Samandar, A. (2025). "Don’t Pass@k: A Bayesian Framework for Large Language Model Evaluation." Under review at ICLR 2026.
Download Paper | Download Bibtex
Published in Under review at Journal of Cosmology and Astroparticle Physics, 2025
This paper explores eigenmodes and correlation matrices to assess the detectability of non-orientable Euclidean manifolds in cosmic topology.
Recommended citation: Samandar, A., et al. (2025). "Cosmic topology. Part IIb. Eigenmodes, correlation matrices, and detectability of non-orientable Euclidean manifolds." Under review at Journal of Cosmology and Astroparticle Physics.
Download Paper | Download Bibtex
Published in Journal of Cosmology and Astroparticle Physics, 2025 (08), 015, 2025
This paper analyzes eigenmodes and correlation matrices of spin-2 perturbations in orientable Euclidean manifolds within cosmic topology.
Recommended citation: Samandar, A., et al. (2025). "Cosmic topology. Part IIIb. Eigenmodes and correlation matrices of spin-2 perturbations in orientable Euclidean manifolds." Journal of Cosmology and Astroparticle Physics. 2025 (08), 015.
Download Paper | Download Bibtex
Published in Journal of Cosmology and Astroparticle Physics, 01(2025), 004, 2025
This paper sets limits on lens spaces in cosmic topology using circle search techniques with CMB data.
Recommended citation: Saha, S., et al. (2025). "Cosmic topology. Part Ic. Limits on lens spaces from circle searches." Journal of Cosmology and Astroparticle Physics. 01(2025), 004.
Download Paper | Download Bibtex
Published in Journal of Cosmology and Astroparticle Physics, 11(2024), 020, 2024
This study investigates microwave background parity violation in cosmic topology without requiring parity-violating microphysics.
Recommended citation: Samandar, A., et al. (2024). "Cosmic topology. Part IIIa. Microwave background parity violation without parity-violating microphysics." Journal of Cosmology and Astroparticle Physics. 11(2024), 020.
Download Paper | Download Bibtex
Published in Journal of Cosmology and Astroparticle Physics, 09(2024), 057, 2024
This work applies machine learning to classify cosmic topologies, focusing on small toroidal universes as a case study.
Recommended citation: Tamošiūnas, A., et al. (2024). "Cosmic topology. Part IVa. Classification of manifolds using machine learning: a case study with small toroidal universes." Journal of Cosmology and Astroparticle Physics. 09(2024), 057.
Download Paper | Download Bibtex