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Chenfei Wu

31 papers hereh-index 233.5k citations44 works total

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

author position
  • first author5
  • middle author25

Across the 30 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CV24
  • cs.CL5
  • cs.AI2
same name
  • Chenfei Wu — 13 papers, h 2
  • Chenfei Wu — 1 paper
  • Chenfei Wu — 1 paper, h 1

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
20192026
most citedVisual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

189 citations · 388 across the 31 of their papers we have counts for

collaborators
Showing 2023 · cs.CLShow all

4 papers · 2 filters

cs.CL2023★ 2 cited

EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation

Wang You, Wenshan Wu, Yaobo Liang +8

Plan-and-Write is a common hierarchical approach in long-form narrative text generation, which first creates a plan to guide the narrative writing. Following this approach, several…

cs.CL2023★ 1 cited

GameEval: Evaluating LLMs on Conversational Games

Dan Qiao, Chenfei Wu, Yaobo Liang +2

The rapid advancements in large language models (LLMs) have presented challenges in evaluating those models. Existing evaluation methods are either reference-based or preference ba…

cs.CL2023★ 2 cited

Learning to Plan with Natural Language

Yiduo Guo, Yaobo Liang, Chenfei Wu +3

Large Language Models (LLMs) have shown remarkable performance in various basic natural language tasks. For completing the complex task, we still need a plan for the task to guide…

cs.CL2023★ 23 cited

Low-code LLM: Graphical User Interface over Large Language Models

Yuzhe Cai, Shaoguang Mao, Wenshan Wu +10

Utilizing Large Language Models (LLMs) for complex tasks is challenging, often involving a time-consuming and uncontrollable prompt engineering process. This paper introduces a nov…

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