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researcher

Zhenghao Liu

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CL2
  • cs.IR2
ORCID 0000-0003-0083-3224
same name
  • Zhenghao Liu — 32 papers
  • Zhenghao Liu — 24 papers, h 22
  • Zhenghao Liu — 9 papers, h 34
  • Zhenghao Liu — 6 papers
  • Zhenghao Liu — 2 papers, h 9
  • Zhenghao Liu — 2 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

activity
20212024
most citedYACLC: A Chinese Learner Corpus with Multidimensional Annotation

10 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2024

From Text to CQL: Bridging Natural Language and Corpus Search Engine

Luming Lu, Jiyuan An, Yujie Wang +8

Natural Language Processing (NLP) technologies have revolutionized the way we interact with information systems, with a significant focus on converting natural language queries int…

cs.IR2023

Text Matching Improves Sequential Recommendation by Reducing Popularity Biases

Zhenghao Liu, Sen Mei, Chenyan Xiong +5

This paper proposes Text mAtching based SequenTial rEcommendation model (TASTE), which maps items and users in an embedding space and recommends items by matching their text repres…

cs.IR2023★ 2 cited

Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

Xinze Li, Zhenghao Liu, Chenyan Xiong +4

This paper presents Structure Aware Dense Retrieval (SANTA) model, which encodes user queries and structured data in one universal embedding space for retrieving structured data. S…

cs.CL2021★ 10 cited

YACLC: A Chinese Learner Corpus with Multidimensional Annotation

Yingying Wang, Cunliang Kong, Liner Yang +8

Learner corpus collects language data produced by L2 learners, that is second or foreign-language learners. This resource is of great relevance for second language acquisition rese…

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