🧑‍🔬 Sunny Yu

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2025–2026 · 11 papersEmploymentcurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions 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. ELEPHANT: Measuring and understanding social sycophancy in LLMs (2025 · 188 citations)
   Earlier sycophancy research checks whether an LLM drops a factual answer to agree with a belief the user states outright.
2. CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies (2024 · 93 citations)
   LLMs tend to reflect Western-centric values. Existing cultural knowledge resources draw mostly on formal sources such as Wikipedia or C4, state norms as fixed facts, and are evaluated through classification or QA tasks that do not resemble real use. The authors build a scalable, bottom-up pipeline that turns noisy…
3. DevBench: A multimodal developmental benchmark for language learning (2024 · 13 citations)
   Vision–language models need far more linguistic input than children do. Models trained on smaller or child-like naturalistic data are usually judged by adult-oriented benchmarks that probe few language skills and rarely include human comparison data. The authors address this with DevBench, a multimodal suite of seven…

All works

9 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. ELEPHANT: Measuring and understanding social sycophancy in LLMsScienceMyra Cheng, Sunny Yu, Cinoo Lee, et al.2025 · 188 citations
2. CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language TechnologiesFindings of the Association for Computational LinguisticsWeiyan Shi, Ryan Li, Yutong Zhang, et al.2024 · 93 citations
3. DevBench: A multimodal developmental benchmark for language learningConference on Neural Information Processing Systems (NeurIPS)Alvin Wei Ming Tan, Sunny Yu, Bria Long, et al.2024 · 13 citations
4. Verbalizing LLMs' Assumptions About the User to Calibrate Expectations and Reduce Sycophancy ↗Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · no summary yetMyra Cheng et al.2026 · 1 citation
5. Cognitive offloading and the speedup illusion in human-AI interaction ↗arXiv (Cornell University) · no summary yetSunny Yu et al.2026 · 1 citation
6. The efficiency-gain illusion: People underestimate the rate of AI use and overestimate its benefits on simple tasks ↗no summary yetSunny Yu et al.2026 · 1 citation
7. Understanding the Division of Cognitive Effort in Human-AI Interactions ↗no summary yetSunny Yu et al.2026
8. Understanding When People use AI on Different Cognitive Tasks ↗no summary yetSunny Yu et al.2026
9. Reflections and New Directions for Human-Centered Large Language Models ↗arXiv (Cornell University) · no summary yetCaleb Ziems et al.2026

🤝 Co-authors here

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

• Caleb Ziems
• Cinoo Lee
• Dan Jurafsky
• Diyi Yang
• Lujain Ibrahim
• Michael C. Frank
• Myra Cheng
• Ryan Li
• Wanjing Anya Ma
• Weiyan Shi
• Yutong Zhang

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 2024
• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2024
• Science: Science 2025
• Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)

🔗 Cited by

Papers of our library cite their works 120 times (of the 149,439 papers whose bibliographies we read); 45 citing papers with a page here →.

Updated 30 October 2026

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