Sara Kangaslahti

According to our database, Sara Kangaslahti authored at least 11 papers between 2018 and 2026.

Collaborative distances:

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

2026

GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon.

Arya Tschand, Chenyu Wang, Zishen Wan, Andrew Cheng, Ioana Cristescu, Kevin He, Howard Huang, Alexander Ingare, Akseli Kangaslahti, Sara Kangaslahti, Theo Lebryk, Hongjin Lin, Jeffrey Jian Ma, Alexandru Meterez, Clara Mohri, Depen Morwani, Sunny Qin, Roy Rinberg, Paula Rodriguez Diaz, Alyssa Mia Taliotis, Pernille Undrum Fathi, Rosie Zhao, Todd Zhou, Vijay Janapa Reddi

CoRR, February, 2026

Inverse Depth Scaling From Most Layers Being Similar.

Yizhou Liu, Sara Kangaslahti, Ziming Liu, Jeff Gore

CoRR, February, 2026

2025

Analyzing Political Text at Scale with Online Tensor LDA.

Sara Kangaslahti, Danny Ebanks, Jean Kossaifi, Anqi Liu, R. Michael Alvarez, Animashree Anandkumar

CoRR, November, 2025

Boomerang Distillation Enables Zero-Shot Model Size Interpolation.

Sara Kangaslahti, Nihal V. Nayak, Jonathan Geuter, Marco Fumero, Francesco Locatello, David Alvarez-Melis

CoRR, October, 2025

Hidden Breakthroughs in Language Model Training.

Sara Kangaslahti, Elan Rosenfeld, Naomi Saphra

CoRR, June, 2025

Continuous Language Model Interpolation yields Dynamic and Controllable Text Generation.

Sara Kangaslahti, David Alvarez-Melis

Trans. Mach. Learn. Res., 2025

2024

Continuous Language Model Interpolation for Dynamic and Controllable Text Generation.

Sara Kangaslahti, David Alvarez-Melis

CoRR, 2024

Fast Forwarding Low-Rank Training.

Adir Rahamim, Naomi Saphra, Sara Kangaslahti, Yonatan Belinkov

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2022

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, R. Michael Alvarez, Anima Anandkumar

Proceedings of the Transfer Learning for Natural Language Processing Workshop, 2022

2021

Adaptive Sampling: Algorithmic vs. Human Waypoint Selection.

Stephanie Kemna, Sara Kangaslahti, Oliver Kroemer, Gaurav S. Sukhatme

CoRR, 2021

2018

Calibrating User Bias In Sentiment Estimation From Social Media.

Sara Kangaslahti, Anoop Kumar

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018