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Lingyao Li

10 papers hereh-index 12968 citations29 works total

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

author position
  • sole author1
  • first author3
  • middle author4
  • last author1

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CY3
  • cs.CL2
  • cs.SI2
  • cs.DL1
  • cs.ET1
  • cs.IR1
same name
  • Lingyao Li — 23 papers, h 12
  • Lingyao Li — 17 papers, h 3
  • Lingyao Li — 6 papers, h 3
  • Lingyao Li — 5 papers, h 2
  • Lingyao Li — 5 papers, h 0
  • Lingyao Li — 4 papers, h 2

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
20232026
most cited"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media

87 citations · 167 across the 10 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

cs.ET2025

LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning

Naiyi Li, Zihui Ma, Runlong Yu +1

Digital Twins (DTs) offer powerful tools for managing complex infrastructure systems, but their effectiveness is often limited by challenges in integrating unstructured knowledge.…

cs.CL2025

A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation

Zihui Ma, Lingyao Li, Juan Li +4

Rapid, fine-grained disaster damage assessment is essential for effective emergency response, yet remains challenging due to limited ground sensors and delays in official reporting…

cs.CY2025

LLMs as World Models: Data-Driven and Human-Centered Pre-Event Simulation for Disaster Impact Assessment

Lingyao Li, Dawei Li, Zhenhui Ou +5

Efficient simulation is essential for enhancing proactive preparedness for sudden-onset disasters such as earthquakes. Recent advancements in large language models (LLMs) as world…

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