Stephanie Schoch
5 papers · 2022–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(11)
Venues
Top co-authors
Research topics
Machine Learning
(5)
Learning Types · Machine Learning
(4)
Natural Language Processing
(3)
Resources & Methods
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Core Methods
(1)
Learning Paradigms
(1)
Models
(1)
Optimization & Theory
(1)
Statistics
(1)
Keywords
large language model
(3)
data valuation
(3)
in-context learning
(3)
shapley value
(2)
prompt engineering
(2)
data quality
(1)
context window
(1)
noisy label detection
(1)
example selection
(1)
demonstration selection
(1)
length bia
(1)
presentation factor
(1)
demonstration set
(1)
ordering effect
(1)
few-shot learning
(1)
class-wise valuation
(1)
transfer learning
(1)
natural language understanding
(1)
predictive accuracy
(1)
monte carlo sampling
(1)
Papers
In-Context Learning (and Unlearning) of Length Biases
NAACL 2025
Monte Carlo Sampling for Analyzing In-Context Examples
NAACL 2025
The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning
EMNLP 2025
Data Selection for Fine-tuning Large Language Models Using Transferred Shapley Values
ACL 2023
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
NeurIPS 2022