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researcher

Min Li

7 papers hereh-index 8482 citations11 works total

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

author position
  • middle author6
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.CV1
  • cs.SE1
same name
  • Min Li — 31 papers, h 15
  • Min Li — 13 papers, h 10
  • Min Li — 10 papers, h 27
  • Min Li — 9 papers, h 8
  • Min Li — 9 papers, h 5
  • Min Li — 7 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
20232025
most citedLarge Language Models Meet NLP: A Survey

20 citations · 37 across the 7 of their papers we have counts for

collaborators
Showing 2024 · cs.CLShow all

4 papers · 2 filters

cs.CL2024

What Factors Affect Multi-Modal In-Context Learning? An In-Depth Exploration

Libo Qin, Qiguang Chen, Hao Fei +3

Recently, rapid advancements in Multi-Modal In-Context Learning (MM-ICL) have achieved notable success, which is capable of achieving superior performance across various tasks with…

cs.CL2024

AutoCAP: Towards Automatic Cross-lingual Alignment Planning for Zero-shot Chain-of-Thought

Yongheng Zhang, Qiguang Chen, Min Li +2

Cross-lingual chain-of-thought can effectively complete reasoning tasks across languages, which gains increasing attention. Recently, dominant approaches in the literature improve…

cs.CL2024★ 20 cited

Large Language Models Meet NLP: A Survey

Libo Qin, Qiguang Chen, Xiachong Feng +6

While large language models (LLMs) like ChatGPT have shown impressive capabilities in Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this…

cs.CL2024★ 13 cited

Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

Libo Qin, Qiguang Chen, Yuhang Zhou +6

Multilingual Large Language Models are capable of using powerful Large Language Models to handle and respond to queries in multiple languages, which achieves remarkable success in…

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