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Soroush Vosoughi — all works

32 works · ← Soroush Vosoughi

  1. A Survey of Data Augmentation Approaches for NLParXiv:2105.03075Steven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 940 citations
  2. Language Models are Multilingual Chain-of-Thought ReasonersarXiv:2210.03057Freda Shi, Mirac Suzgun, Markus Freitag, et al.2022 · 494 citations
  3. Mitigating Political Bias in Language Models through Reinforced Calibration ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetRuibo Liu et al.2021 · 105 citations
  4. Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetRuibo Liu et al.2020 · 103 citations
  5. Quantifying and alleviating political bias in language models ↗Artificial Intelligence · no summary yetRuibo Liu et al.2021 · 100 citations
  6. Training Socially Aligned Language Models on Simulated Social Interactions ↗arXiv:2305.16960 · no summary yetRuibo Liu et al.2023 · 94 citations
  7. DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs ↗Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) · no summary yetPrashanth Vijayaraghavan et al.2016 · 75 citations
  8. Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetJason Wei et al.2021 · 42 citations
  9. What Are People Asking About COVID-19? A Question Classification Dataset ↗Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020 · no summary yetJerry Wei et al.2020 · 35 citations
  10. Tweet Acts: A Speech Act Classifier for TwitterarXiv:1605.05156Soroush Vosoughi, Deb Roy2016 · 32 citations
  11. Modulating Language Models with Emotions ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetRuibo Liu et al.2021 · 26 citations
  12. Non-Parallel Text Style Transfer with Self-Parallel Supervision ↗arXiv:2204.08123 · no summary yetRuibo Liu et al.2022 · 18 citations
  13. Deciphering Stereotypes in Pre-Trained Language Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetWeicheng Ma et al.2023 · 17 citations
  14. Interpretable Image Classification with Adaptive Prototype-based Vision Transformers ↗neural information processing systems · no summary yetChiyu Ma et al.2024 · 16 citations
  15. An Empirical Survey of Unsupervised Text Representation Methods on Twitter Data ↗Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020) · no summary yetLili Wang et al.2020 · 13 citations
  16. Language Model Augmented Relevance Score ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetRuibo Liu, Jason Wei, Soroush Vosoughi2021 · 12 citations
  17. Text Augmentation in a Multi-Task View ↗Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yetJason Wei et al.2021 · 11 citations
  18. Simulated Misinformation Susceptibility (SMISTS): Enhancing Misinformation Research with Large Language Model Simulations ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetWeicheng Ma et al.2024 · 9 citations
  19. Linguistic Complexity Loss in Text-Based Therapy ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetJason Wei et al.2021 · 9 citations
  20. When Debiasing Backfires: Counterintuitive Side Effects of Preprocessing-Based Stereotype Mitigation ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYahan Zheng et al.2026
  21. Curriculum Data Augmentation for Highly Multiclass Text Classification ↗North American Chapter of the Association for Computational Linguistics · no summary yetJason Wei et al.2021

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