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Predicting Twitter User Demographics from Names Alone.

, , , and . PEOPLES@NAACL-HTL, page 105-111. Association for Computational Linguistics, (2018)

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A Deep Metric Learning Approach to Account Linking., , , , and . NAACL-HLT, page 5275-5287. Association for Computational Linguistics, (2021)Seeded Discovery of Base Relations in Large Corpora., and . EMNLP, page 591-599. ACL, (2008)Ensemble Distillation for Structured Prediction: Calibrated, Accurate, Fast - Choose Three., , and . EMNLP (1), page 5583-5595. Association for Computational Linguistics, (2020)Less is More for Synthetic Speech Detection in the Wild., , , , , , , and . CoRR, (February 2025)Convolutions Are All You Need (For Classifying Character Sequences)., , and . NUT@EMNLP, page 208-213. Association for Computational Linguistics, (2018)Entity Clustering Across Languages., , , , and . HLT-NAACL, page 60-69. The Association for Computational Linguistics, (2012)Robust Entity Clustering via Phylogenetic Inference., , and . ACL (1), page 775-785. The Association for Computer Linguistics, (2014)Few-Shot Detection of Machine-Generated Text using Style Representations., , , , , and . ICLR, OpenReview.net, (2024)Privacy versus Emotion Preservation Trade-offs in Emotion-Preserving Speaker Anonymization., , , , , , , and . CoRR, (2024)Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence., , , and . CoRR, (March 2025)