publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

See the list of publications below, or check my Google Scholar for an up-to-date-list.

2025

  1. TMLR
    Continuous Language Model Interpolation yields Dynamic and Controllable Text Generation
    Sara Kangaslahti and David Alvarez-Melis
    Transactions on Machine Learning Research, 2025
    arXiv
  2. arXiv
    Hidden Breakthroughs in Language Model Training
    Sara Kangaslahti, Elan Rosenfeld, and Naomi Saphra
    arXiv preprint arXiv:2506.15872, 2025
    arXiv
  3. arXiv
    Boomerang Distillation Enables Zero-Shot Model Size Interpolation
    Sara Kangaslahti, Nihal V Nayak, Jonathan Geuter, Marco Fumero, Francesco Locatello, and David Alvarez-Melis
    arXiv preprint arXiv:2510.05064, 2025
    arXiv

2024

  1. EMNLP
    Fast Forwarding Low-Rank Training
    Adir Rahamim, Naomi Saphra, Sara Kangaslahti, and Yonatan Belinkov
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
    arXiv
  2. NeurIPS-W
    Continuous Language Model Interpolation for Dynamic and Controllable Text Generation
    Sara Kangaslahti and David Alvarez-Melis
    NeurIPS Workshop on Adaptive Foundation Models, 2024
  3. ICML-W
    Loss in the Crowd: Hidden Breakthroughs in Language Model Training
    Sara Kangaslahti, Elan Rosenfeld, and Naomi Saphra
    Spotlight at the ICML Workshop on Mechanistic Interpretability, 2024

2023

  1. NeurIPS-W
    Can you label less by using out-of-domain data? Active & transfer learning with few-shot instructions
    Rafal Kocielnik, Sara Kangaslahti, Shrimai Prabhumoye, Meena Hari, Michael Alvarez, and Anima Anandkumar
    In Transfer Learning for Natural Language Processing Workshop, 2023
    arXiv

2021

  1. arXiv
    Adaptive sampling: Algorithmic vs. human waypoint selection
    Stephanie Kemna, Sara Kangaslahti, Oliver Kroemer, and Gaurav S Sukhatme
    arXiv preprint arXiv:2104.11962, 2021
    arXiv