Publications

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 (EMNLP), 2025

Monte Carlo Sampling for Analyzing In-Context Examples

Stephanie Schoch, Yangfeng Ji

Proceedings of the Sixth Workshop on Insights from Negative Results in NLP (NAACL Insights), 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 (NAACL), 2025

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 Student Research Workshop (ACL SRW), 2023

Barriers and enabling factors for error analysis in NLG research

Emiel van Miltenburg, Miruna Clinciu, Ondřej Dušek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Stephanie Schoch, Craig Thomson, Luou Wen

Northern European Journal of Language Technology (NEJLT), 2023

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

Stephanie Schoch, Haifeng Xu, Yangfeng Ji

Proceedings of the 36th International Conference on Neural Information Processing Systems (NeurIPS), 2022

Ask and you shall receive?: A LibAnswers FAQ usability study

Stephanie Schoch, Amanda VerMeulen

Weave: Journal of Library User Experience, 2022

Contextualizing Variation in Text Style Transfer Datasets

Stephanie Schoch, Wanyu Du, Yangfeng Ji

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

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

Emiel Van Miltenburg, Miruna-Adriana Clinciu, Ondřej Dušek, 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 (INLG), 2021

Outstanding Position Paper

'This is a Problem, Don't You Agree?' Framing and Bias in Human Evaluation for Natural Language Generation

Stephanie Schoch, Diyi Yang, Yangfeng Ji

Proceedings of the 1st Workshop on Evaluating NLG Evaluation (EvalNLGEval), 2020