---
title: "Tongshuang Wu — all works — Elamur Research"
description: "All 27 works of Tongshuang Wu in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/tongshuang-wu/works/"
---
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# Tongshuang Wu — all works

27 works · [← Tongshuang Wu](https://md.research.elamur.ai/free/en/authors/tongshuang-wu/)

1. **[Beyond Accuracy: Behavioral Testing of NLP Models with CheckList ↗](https://aclanthology.org/2020.acl-main.442/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Marco Tulio Ribeiro et al.*2020 · 1,399 citations*
2. **[Polyjuice: Generating Counterfactuals for Explaining, Evaluating, and Improving Models](https://md.research.elamur.ai/free/en/papers/wu-2021-polyjuice-generating-counterfactuals-explaining-evaluating/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, et al.*2021 · 277 citations*
3. **[Errudite: Scalable, Reproducible, and Testable Error Analysis ↗](https://aclanthology.org/P19-1073/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Tongshuang Wu et al.*2019 · 175 citations*
4. **[Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design](https://md.research.elamur.ai/free/en/papers/tjuatja-2024-do-llms-exhibit-human-like/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Lindia Tjuatja, Valerie Chen, Tongshuang Wu, et al.*2024 · 140 citations*
5. [**Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension**Ying Xu, Dakuo Wang, Mo Yu, et al.*Mova's core list · 137 citations*](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/)
6. **[Large Language Models Enable Few-Shot Clustering](https://md.research.elamur.ai/free/en/papers/viswanathan-2024-large-language-models-enable-few/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, et al.*2024 · 111 citations*
7. **[Tailor: Generating and Perturbing Text with Semantic Controls](https://md.research.elamur.ai/free/en/papers/ross-2022-tailor-generating-perturbing-text-semantic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alexis Ross, Tongshuang Wu, Hao Peng, et al.*2022 · 93 citations*
8. **[Evaluating Mathematical Reasoning Beyond Accuracy](https://md.research.elamur.ai/free/en/papers/xia-2024-evaluating-mathematical-reasoning-accuracy/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Shijie Xia, Xuefeng Li, Yixin Liu, et al.*2024 · 85 citations*
9. **[Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation](https://md.research.elamur.ai/free/en/papers/fernandes-2023-bridging-gap-survey-integrating-human/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Patrick Fernandes, Aman Madaan, Emmy Liu, et al.*2023 · 84 citations*
10. [**It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books**Bingsheng Yao, Dakuo Wang, Tongshuang Wu, et al.*English · 64 citations*](https://md.research.elamur.ai/free/en/papers/yao-2022-it-is-ai-s-turn/)
11. **[Checklists Are Better Than Reward Models For Aligning Language Models](https://md.research.elamur.ai/free/en/papers/viswanathan-2025-checklists-better-than-reward-models/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Vijay Viswanathan, Yanchao Sun, Shuang Ma, et al.*2025 · 37 citations*
12. **[Better Synthetic Data by Retrieving and Transforming Existing Datasets ↗](https://aclanthology.org/2024.findings-acl.385/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Saumya Gandhi et al.*2024 · 35 citations*
13. **[Prompt2Model: Generating Deployable Models from Natural Language Instructions ↗](https://aclanthology.org/2023.emnlp-demo.38/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations · no summary yet**Vijay Viswanathan et al.*2023 · 30 citations*
14. **[DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions ↗](https://aclanthology.org/2023.acl-long.573/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Vijay Viswanathan et al.*2023 · 26 citations*
15. **[SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning ↗](https://arxiv.org/abs/2407.12874) arXiv (Cornell University) · no summary yet**Chenyang Zhao et al.*2024 · 15 citations*
16. **[Synthetic Multimodal Question Generation ↗](https://aclanthology.org/2024.findings-emnlp.759/) Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yet**Ian Wu et al.*2024 · 13 citations*
17. **[Human-AI Interaction in the Age of LLMs ↗](https://aclanthology.org/2024.naacl-tutorials.5/) 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 yet**Diyi Yang, Sherry Tongshuang Wu, Marti A. Hearst*2024 · 12 citations*
18. **[Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages ↗](https://doi.org/10.1145/3491102.3502114) CHI Conference on Human Factors in Computing Systems · no summary yet**Jiao Sun et al.*2022 · 8 citations*
19. **[SPHERE: An Evaluation Card for Human-AI Systems ↗](https://aclanthology.org/2025.findings-acl.70/) Findings of the Association for Computational Linguistics: ACL 2025 · no summary yet**Dora Zhao et al.*2025 · 7 citations*
20. **[What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts](https://md.research.elamur.ai/free/en/papers/yang-2026-what-prompts-don-t-say/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chenyang Yang, Yike Shi, Qianou Ma, et al.*2026 · 6 citations*
21. **[Mind the Sim2Real Gap in User Simulation for Agentic Tasks ↗](https://arxiv.org/abs/2603.11245) arXiv (Cornell University) · no summary yet**Xuhui Zhou et al.*2026 · 6 citations*
22. **[Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities ↗](https://doi.org/10.1145/3706599.3716291) Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · no summary yet**Hua Shen et al.*2025 · 6 citations*
23. **[Designing, Evaluating, and Learning from Humans Interacting with NLP Models ↗](https://aclanthology.org/2023.emnlp-tutorial.3/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts · no summary yet**Tongshuang Wu, Diyi Yang, Sebastin Santy*2023 · 4 citations*
24. **[Reinforcing Human Behavior Simulation via Verbal Feedback ↗](https://arxiv.org/abs/2605.20506) arXiv (Cornell University) · no summary yet**Weiwei Sun et al.*2026*
25. **[Discretizing Reward Models ↗](https://arxiv.org/abs/2606.21795) arXiv (Cornell University) · no summary yet**Vijay Viswanathan et al.*2026*
26. **[Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)](https://md.research.elamur.ai/free/en/papers/blodgett-2025-proceedings-fourth-workshop-bridging-human/) [Workshop on Bridging Human–Computer Interaction and Natural Language Processing](https://md.research.elamur.ai/free/en/venues/hcinlp/)**Su Lin Blodgett, Amanda Cercas Curry, Sunipa Dev, et al.*2025*
27. **[Human-AI Collaboration: How AIs Augment Human Teammates ↗](https://aclanthology.org/2025.acl-tutorials.4/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 5: Tutorial Abstracts) · no summary yet**Sherry Wu et al.*2025*