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Shuyue Stella Li

Shuyue Stella Li has 2 papers in our library, in 2024–2025, most of them on Evaluation & benchmarks, Reasoning, Bias, fairness & safety; often with Yulia Tsvetkov, Bill Yuchen Lin, Chan Young Park.

2 papers in our library · 2024–2025

OpenAlex · h-index 5 · 46 works · 224 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 267 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #6667

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of WashingtonSeattle · United States2024–2026 · 26 paperscurrent🎓University of Wisconsin–MadisonMadison · United States2026 · 2 paperscurrent🎓Johns Hopkins UniversityBaltimore · United States2022–2024 · 8 papers

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.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksMedicine · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workComputer Vision and Pattern Recognition · 1 workHealth Informatics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksReasoning · 1 workBias, fairness & safety · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning (2024 · 74 citations)
    Most medical QA benchmarks give the model the whole case at once. Real consultations are different: patients often leave out details, and a clinician has to ask follow-up questions before deciding. The authors argue that LLMs are tuned to answer no matter what, which makes them unreliable when the context is…
  2. CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming (2025 · 38 citations)
    Measuring how well language models understand everyday cultural practice worldwide is difficult. Static hand-written test sets soon become too easy. Benchmarks built from web pages, value surveys or synthetic generation may overlap with training data or carry over model biases.

All works

9 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. MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical ReasoningConference on Neural Information Processing Systems (NeurIPS)Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.2024 · 74 citations
  2. Spurious Rewards: Rethinking Training Signals in RLVR ↗arXiv:2506.10947 · no summary yetRulin Shao et al.2025 · 53 citations
  3. CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-TeamingAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, et al.2025 · 38 citations
  4. Precise Information Control in Long-Form Text Generation ↗neural information processing systems · no summary yetJacqueline He et al.2025 · 3 citations
  5. Verifiable Visual Rewards Transfer from Synthetic Scenes to Natural Prompts ↗arXiv (Cornell University) · no summary yetShuyue Stella Li et al.2026 · 1 citation
  6. Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall ↗arXiv:2609.01532 · no summary yetJacqueline He et al.2026
  7. ExploreNet: Learning Where to Explore in Diffusion GRPO ↗arXiv (Cornell University) · no summary yetShuyue Stella Li et al.2026
  8. HorizonBench: Long-Horizon Personalization with Evolving Preferences ↗arXiv (Cornell University) · no summary yetShuyue Stella Li et al.2026
  9. Self-Improving VLM Judges Without Human Annotations ↗arXiv (Cornell University) · no summary yetInna Wanyin Lin et al.2025

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 267 times (of the 149,439 papers whose bibliographies we read); 70 citing papers with a page here →.

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