🧑‍🔬 Rose Wang

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2020–2026 · 24 papers🎓Massachusetts Institute of TechnologyCambridge · United States2020–2021 · 4 papers

🏛️BlueskyUnited StatesEmployment

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction (2023 · 36 citations)
   Classroom observation followed by expert coaching is central to teacher development. Most teachers, however, rarely receive regular, high-quality feedback because skilled coaches are scarce and expensive. The authors test whether ChatGPT, used zero-shot, could serve as a low-cost supplement to human coaching. They…
2. Calibrate your listeners! Robust communication-based training for pragmatic speakers (2021 · 5 citations)
   The paper studies pragmatic speakers trained by communication: a speaker learns to describe a target image so that a learned neural listener can pick it out from distractors.

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Evaluating Human-Language Model Interaction ↗arXiv (Cornell University) · no summary yetMina Lee et al.2022 · 110 citations
2. Solving Math Word Problems by Combining Language Models With Symbolic Solvers ↗arXiv:2304.09102 · no summary yetJoy He-Yueya et al.2023 · 77 citations
3. Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom InstructionarXiv:2306.03090Rose E. Wang, Dorottya Demszky2023 · 36 citations
4. “Mistakes Help Us Grow”: Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetKunal Handa et al.2023 · 7 citations
5. ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward ↗arXiv (Cornell University) · no summary yetZixian Ma et al.2022 · 7 citations
6. Calibrate your listeners! Robust communication-based training for pragmatic speakersFindings of the Association for Computational LinguisticsRose Wang, Julia White, Jesse Mu, et al.2021 · 5 citations
7. Reflections and New Directions for Human-Centered Large Language Models ↗arXiv (Cornell University) · no summary yetCaleb Ziems et al.2026

🤝 Co-authors here

3 co-authors with a page, the most papers together first.

• Dorottya Demszky
• Jesse Mu
• Noah D. Goodman

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2021
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

🔗 Cited by

Papers of our library cite their works 1,380 times (of the 149,439 papers whose bibliographies we read); 250 citing papers with a page here →.

Updated 1 November 2026

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