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S. Li

32 papers hereh-index 13809 citations33 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author21
  • last author1

Across the 30 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CL20
  • cs.AI8
  • cs.CR2
  • cs.CV2
same name
  • S. Li — 782 papers
  • S. Li — 171 papers, h 9
  • S. Li — 116 papers, h 14
  • S. Li — 94 papers, h 12
  • S. Li — 90 papers, h 10
  • S. Li — 81 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMedical Hallucinations in Foundation Models and Their Impact on Healthcare

30 citations · 38 across the 28 of their papers we have counts for

collaborators
Showing 2026 · cs.AIShow all

4 papers · 2 filters

cs.AI2026

IsoVRBench: Video Reward Modeling Without Human Feedback

Shuyue Stella Li, Jacqueline He, Jiahui Chen +5

Video reward models are trained and evaluated on human preferences between videos that often differ simultaneously on properties such as prompt alignment, visual fidelity, motion,…

cs.AI2026

Verifiable Visual Rewards Transfer from Synthetic Scenes to Natural Prompts

Shuyue Stella Li, Xiaochuang Han, Yulia Tsvetkov +1

Precise instruction following in image generation, such as satisfying object counts and spatial relations, remains an open challenge at least in part because it is learned using un…

cs.AI2026

StructBreak: Structural Cognitive Overload-Induced Safety Failures in MLLMs

Yang Luo, Xinran Liu, Tiantian Ji +3

Multimodal Large Language Models (MLLMs) excel at structural reasoning yet suffer from a sharp logical brittleness in structural consistency. We term this phenomenon Structural Cog…

cs.AI2026

EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics

Shuyue Stella Li, Rui Xin, Teng Xiao +8

Language models encode substantial evaluative knowledge from pretraining, yet current post-training methods rely on external supervision (human annotations, proprietary models, or…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.