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researcher

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 2025 · cs.AIShow all

4 papers · 2 filters

cs.AI2025

Cognitive Foundations for Reasoning and Their Manifestation in LLMs

Priyanka Kargupta, Shuyue Stella Li, Haocheng Wang +9

Large language models (LLMs) solve complex problems yet fail on simpler variants, suggesting they achieve correct outputs through mechanisms fundamentally different from human reas…

cs.AI2025

PrefPalette: Personalized Preference Modeling with Latent Attributes

Shuyue Stella Li, Melanie Sclar, Hunter Lang +7

Personalizing AI systems requires understanding not just what users prefer, but the reasons that underlie those preferences - yet current preference models typically treat human ju…

cs.AI2025

Spurious Rewards: Rethinking Training Signals in RLVR

Rulin Shao, Shuyue Stella Li, Rui Xin +11

We show that reinforcement learning with verifiable rewards (RLVR) can elicit strong mathematical reasoning in certain language models even with spurious rewards that have little,…

cs.AI2025★ 1 cited

BLAB: Brutally Long Audio Bench

Orevaoghene Ahia, Martijn Bartelds, Kabir Ahuja +13

Developing large audio language models (LMs) capable of understanding diverse spoken interactions is essential for accommodating the multimodal nature of human communication and ca…

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