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researcher

Yue Wang

4 papers here

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

author position
  • first author1
  • middle author2
  • last author1

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

fields
  • cs.CL3
  • physics.app-ph1
ORCID 0009-0004-7050-9811
same name
  • Yue Wang — 47 papers, h 32
  • Yue Wang — 19 papers, h 22
  • Yue Wang — 15 papers
  • Yue Wang — 10 papers, h 14
  • Yue Wang — 10 papers
  • Yue Wang — 7 papers, h 8

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 citedRGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution

10 citations · 11 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023

G-SPEED: General SParse Efficient Editing MoDel

Haoke Zhang, Yue Wang, Juntao Li +2

Large Language Models~(LLMs) have demonstrated incredible capabilities in understanding, generating, and manipulating languages. Through human-model interactions, LLMs can automati…

physics.app-ph2023★ 1 cited

Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory

Yahong Chai, Yuhan Liang, Cancheng Xiao +19

Magnons, bosonic quasiparticles carrying angular momentum, can flow through insulators for information transmission with minimal power dissipation. However, it remains challenging…

cs.CL2023★ 10 cited

RGAT: A Deeper Look into Syntactic Dependency Information for Coreference Resolution

Yuan Meng, Xuhao Pan, Jun Chang +1

Although syntactic information is beneficial for many NLP tasks, combining it with contextual information between words to solve the coreference resolution problem needs to be furt…

cs.CL2023

Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models

Yue Wang, Xinrui Wang, Juntao Li +5

Instruction tuning is instrumental in enabling Large Language Models~(LLMs) to follow user instructions to complete various open-domain tasks. The success of instruction tuning dep…

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