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Papers
A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks
L4DC 2025
Identifying and Understanding Cross-Class Features in Adversarial Training
ICML 2025
Improving Respiratory Sound Classification with Architecture-Agnostic Knowledge Distillation from Ensembles
Interspeech 2025
Exploring Soft-Label Training for Implicit Discourse Relation Recognition
EACL 2024
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?
EMNLP 2024
Cross-task Knowledge Transfer for Extremely Weakly Supervised Text Classification
ACL 2023