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Fenglin Liu

4 papers here

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CV2
same name
  • Fenglin Liu — 16 papers, h 26
  • Fenglin Liu — 6 papers, h 4
  • Fenglin Liu — 4 papers, h 16
  • Fenglin Liu — 2 papers, h 11
  • Fenglin Liu — 2 papers
  • Fenglin Liu — 1 paper

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

most citedMultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning

13 citations · 13 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CL2024

Large Language Models in Mental Health Care: a Scoping Review

Yining Hua, Fenglin Liu, Kailai Yang +9

Objectieve:This review aims to deliver a comprehensive analysis of Large Language Models (LLMs) utilization in mental health care, evaluating their effectiveness, identifying chall…

cs.CL2023

A Survey of Large Language Models in Medicine: Progress, Application, and Challenge

Hongjian Zhou, Fenglin Liu, Boyang Gu +16

Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a…

cs.CV2023★ 13 cited

MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning

Bang Yang, Fenglin Liu, Xian Wu +3

Supervised visual captioning models typically require a large scale of images or videos paired with descriptions in a specific language (i.e., the vision-caption pairs) for trainin…

cs.CV2023

Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels

Bang Yang, Fenglin Liu, Zheng Li +4

Generating an informative and attractive title for the product is a crucial task for e-commerce. Most existing works follow the standard multimodal natural language generation appr…

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