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researcher

Mengqi Zhang

4 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.CV1
  • cs.IR1
ORCID 0000-0003-0042-4578
same name
  • Mengqi Zhang — 4 papers, h 21
  • Mengqi Zhang — 3 papers
  • Mengqi Zhang — 3 papers, h 14
  • Mengqi Zhang — 2 papers, h 3
  • Mengqi Zhang — 1 paper
  • Mengqi Zhang — 1 paper, h 0

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 citedMeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2024★ 2 cited

MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model

Minghua Liu, Chong Zeng, Xinyue Wei +9

Open-world 3D reconstruction models have recently garnered significant attention. However, without sufficient 3D inductive bias, existing methods typically entail expensive trainin…

cs.IR2024

ExcluIR: Exclusionary Neural Information Retrieval

Wenhao Zhang, Mengqi Zhang, Shiguang Wu +5

Exclusion is an important and universal linguistic skill that humans use to express what they do not want. However, in information retrieval community, there is little research on…

cs.CL2024

Knowledge Graph Enhanced Large Language Model Editing

Mengqi Zhang, Xiaotian Ye, Qiang Liu +3

Large language models (LLMs) are pivotal in advancing natural language processing (NLP) tasks, yet their efficacy is hampered by inaccuracies and outdated knowledge. Model editing…

cs.AI2023

MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning

Yuwei Xia, Mengqi Zhang, Qiang Liu +2

Reasoning over Temporal Knowledge Graphs (TKGs) aims to predict future facts based on given history. One of the key challenges for prediction is to learn the evolution of facts. Mo…

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