Stephanie Schoch

12 papers A* 2B 2Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2025 — conf
In-Context Learning (and Unlearning) of Length Biases.
NAACL (Long Papers)
Stephanie Schoch, Yangfeng Ji
2025 J jnl
In-Context Learning (and Unlearning) of Length Biases.
CoRR
Stephanie Schoch, Yangfeng Ji
2025 J jnl
Monte Carlo Sampling for Analyzing In-Context Examples.
CoRR
Stephanie Schoch, Yangfeng Ji
2025 A* conf
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning.
EMNLP
Stephanie Schoch, Yangfeng Ji
2023 — conf
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values.
ACL (student)
Stephanie Schoch, Ritwick Mishra, Yangfeng Ji
2023 J jnl
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values.
CoRR
Stephanie Schoch, Ritwick Mishra, Yangfeng Ji
2022 A* conf
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification.
NeurIPS
Stephanie Schoch, Haifeng Xu, Yangfeng Ji
2022 J jnl
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification.
CoRR
Stephanie Schoch, Haifeng Xu, Yangfeng Ji
2021 B conf
Contextualizing Variation in Text Style Transfer Datasets.
INLG
Stephanie Schoch, Wanyu Du, Yangfeng Ji
2021 J jnl
Contextualizing Variation in Text Style Transfer Datasets.
CoRR
Stephanie Schoch, Wanyu Du, Yangfeng Ji
2021 B conf
Underreporting of errors in NLG output, and what to do about it.
INLG
Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondrej Dusek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Emma Manning, Stephanie Schoch, Craig Thomson, Luou Wen
2021 J jnl
Underreporting of errors in NLG output, and what to do about it.
CoRR
Emiel van Miltenburg, Miruna-Adriana Clinciu, Ondrej Dusek, Dimitra Gkatzia, Stephanie Inglis, Leo Leppänen, Saad Mahamood, Emma Manning, Stephanie Schoch, Craig Thomson, Luou Wen