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Tongshuang Wu — all works

27 works · ← Tongshuang Wu

  1. Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetMarco Tulio Ribeiro et al.2020 · 1,399 citations
  2. Errudite: Scalable, Reproducible, and Testable Error Analysis ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetTongshuang Wu et al.2019 · 175 citations
  3. Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative ComprehensionYing Xu, Dakuo Wang, Mo Yu, et al.Mova's core list · 137 citations
  4. Large Language Models Enable Few-Shot ClusteringTransactions of the Association for Computational Linguistics (TACL)Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, et al.2024 · 111 citations
  5. It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story BooksBingsheng Yao, Dakuo Wang, Tongshuang Wu, et al.English · 64 citations
  6. Better Synthetic Data by Retrieving and Transforming Existing Datasets ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetSaumya Gandhi et al.2024 · 35 citations
  7. Prompt2Model: Generating Deployable Models from Natural Language Instructions ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yetVijay Viswanathan et al.2023 · 30 citations
  8. DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetVijay Viswanathan et al.2023 · 26 citations
  9. SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning ↗arXiv (Cornell University) · no summary yetChenyang Zhao et al.2024 · 15 citations
  10. Synthetic Multimodal Question Generation ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetIan Wu et al.2024 · 13 citations
  11. Human-AI Interaction in the Age of LLMs ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts) · no summary yetDiyi Yang, Sherry Tongshuang Wu, Marti A. Hearst2024 · 12 citations
  12. Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages ↗CHI Conference on Human Factors in Computing Systems · no summary yetJiao Sun et al.2022 · 8 citations
  13. SPHERE: An Evaluation Card for Human-AI Systems ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetDora Zhao et al.2025 · 7 citations
  14. Mind the Sim2Real Gap in User Simulation for Agentic Tasks ↗arXiv (Cornell University) · no summary yetXuhui Zhou et al.2026 · 6 citations
  15. Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities ↗Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · no summary yetHua Shen et al.2025 · 6 citations
  16. Designing, Evaluating, and Learning from Humans Interacting with NLP Models ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts · no summary yetTongshuang Wu, Diyi Yang, Sebastin Santy2023 · 4 citations
  17. Reinforcing Human Behavior Simulation via Verbal Feedback ↗arXiv (Cornell University) · no summary yetWeiwei Sun et al.2026
  18. Discretizing Reward Models ↗arXiv (Cornell University) · no summary yetVijay Viswanathan et al.2026
  19. Human-AI Collaboration: How AIs Augment Human Teammates ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts) · no summary yetSherry Wu et al.2025

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