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Yuan-Fang Li

33 papers hereh-index 288k citations88 works total

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

author position
  • first author1
  • middle author21
  • last author10

Across the 32 of 33 papers where every author was matched, so the position is known.

fields
  • cs.CL16
  • cs.LG10
  • cs.CV2
  • cs.AI1
  • cs.AR1
  • cs.IR1
same name
  • Yuan-Fang Li — 38 papers, h 8
  • Yuan-Fang Li — 34 papers, h 42
  • Yuan-Fang Li — 6 papers, h 3
  • Yuan-Fang Li — 5 papers, h 4
  • Yuan-Fang Li — 5 papers, h 3
  • Yuan-Fang Li — 3 papers, h 3

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
20202025
most citedSparks of Artificial General Intelligence: Early experiments with GPT-4

1.6k citations · 1.9k across the 32 of their papers we have counts for

collaborators
Showing 2022 · cs.CLShow all

4 papers · 2 filters

cs.CL2022★ 2 cited

Complex Reading Comprehension Through Question Decomposition

Xiao-Yu Guo, Yuan-Fang Li, Gholamreza Haffari

Multi-hop reading comprehension requires not only the ability to reason over raw text but also the ability to combine multiple evidence. We propose a novel learning approach that h…

cs.CL2022

Towards Relation Extraction From Speech

Tongtong Wu, Guitao Wang, Jinming Zhao +4

Relation extraction typically aims to extract semantic relationships between entities from the unstructured text. One of the most essential data sources for relation extraction is…

cs.CL2022

Teaching Neural Module Networks to Do Arithmetic

Jiayi Chen, Xiao-Yu Guo, Yuan-Fang Li +1

Answering complex questions that require multi-step multi-type reasoning over raw text is challenging, especially when conducting numerical reasoning. Neural Module Networks(NMNs),…

cs.CL2022

Neural Topic Modeling with Deep Mutual Information Estimation

Kang Xu, Xiaoqiu Lu, Yuan-fang Li +5

The emerging neural topic models make topic modeling more easily adaptable and extendable in unsupervised text mining. However, the existing neural topic models is difficult to ret…

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