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researcher

Kun Li

8 papers hereh-index 8153 citations20 works total

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

author position
  • first author1
  • middle author7

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL6
  • cs.SI2
same name
  • Kun Li — 46 papers, h 21
  • Kun Li — 18 papers, h 6
  • Kun Li — 16 papers, h 6
  • Kun Li — 14 papers, h 4
  • Kun Li — 13 papers, h 6
  • Kun Li — 12 papers, h 25

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 citedBotSim: LLM-Powered Malicious Social Botnet Simulation

1 citations · 2 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

4 papers · 1 filter

cs.SI2024★ 1 cited

BotSim: LLM-Powered Malicious Social Botnet Simulation

Boyu Qiao, Kun Li, Wei Zhou +3

Social media platforms like X(Twitter) and Reddit are vital to global communication. However, advancements in Large Language Model (LLM) technology give rise to social media bots w…

cs.CL2024

Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media

Kun Li, Chenwei Dai, Wei Zhou +1

Large language models (LLMs) have demonstrated impressive capabilities in role-playing tasks. However, there is limited research on whether LLMs can accurately simulate user behavi…

cs.CL2024

Improve Student's Reasoning Generalizability through Cascading Decomposed CoTs Distillation

Chengwei Dai, Kun Li, Wei Zhou +1

Large language models (LLMs) exhibit enhanced reasoning at larger scales, driving efforts to distill these capabilities into smaller models via teacher-student learning. Previous w…

cs.CL2024

Beyond Imitation: Learning Key Reasoning Steps from Dual Chain-of-Thoughts in Reasoning Distillation

Chengwei Dai, Kun Li, Wei Zhou +1

As Large Language Models (LLMs) scale up and gain powerful Chain-of-Thoughts (CoTs) reasoning abilities, practical resource constraints drive efforts to distill these capabilities…

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