Stephanie Schoch

According to our database, Stephanie Schoch authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Monte Carlo Sampling for Analyzing In-Context Examples.

Stephanie Schoch, Yangfeng Ji

CoRR, March, 2025

In-Context Learning (and Unlearning) of Length Biases.

Stephanie Schoch, Yangfeng Ji

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning.

Stephanie Schoch, Yangfeng Ji

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

2023

Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values.

Stephanie Schoch, Ritwick Mishra, Yangfeng Ji

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2023

2022

CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification.

Stephanie Schoch, Haifeng Xu, Yangfeng Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Contextualizing Variation in Text Style Transfer Datasets.

Stephanie Schoch, Wanyu Du, Yangfeng Ji

Proceedings of the 14th International Conference on Natural Language Generation, 2021

Underreporting of errors in NLG output, and what to do about it.

Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondrej Dusek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Emma Manning, Stephanie Schoch, Craig Thomson, Luou Wen

Proceedings of the 14th International Conference on Natural Language Generation, 2021