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Jie Zhou

4 papers here

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

author position
  • middle author2
  • last author2

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

fields
  • cs.CL2
  • cs.IR1
  • cs.LG1
ORCID 0000-0002-5899-5165
same name
  • Jie Zhou — 61 papers
  • Jie Zhou — 56 papers
  • Jie Zhou — 44 papers
  • Jie Zhou — 38 papers
  • Jie Zhou — 32 papers, h 70
  • Jie Zhou — 6 papers, h 18

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 citedWebCPM: Interactive Web Search for Chinese Long-form Question Answering

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 3 cited

WebCPM: Interactive Web Search for Chinese Long-form Question Answering

Yujia Qin, Zihan Cai, Dian Jin +12

Long-form question answering (LFQA) aims at answering complex, open-ended questions with detailed, paragraph-length responses. The de facto paradigm of LFQA necessitates two proced…

cs.LG2023★ 1 cited

Mitigating Catastrophic Forgetting in Task-Incremental Continual Learning with Adaptive Classification Criterion

Yun Luo, Xiaotian Lin, Zhen Yang +3

Task-incremental continual learning refers to continually training a model in a sequence of tasks while overcoming the problem of catastrophic forgetting (CF). The issue arrives fo…

cs.CL2023★ 1 cited

Towards Unifying Multi-Lingual and Cross-Lingual Summarization

Jiaan Wang, Fandong Meng, Duo Zheng +4

To adapt text summarization to the multilingual world, previous work proposes multi-lingual summarization (MLS) and cross-lingual summarization (CLS). However, these two tasks have…

cs.IR2023

Attacking Pre-trained Recommendation

Yiqing Wu, Ruobing Xie, Zhao Zhang +5

Recently, a series of pioneer studies have shown the potency of pre-trained models in sequential recommendation, illuminating the path of building an omniscient unified pre-trained…

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