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Xiao Zhou

13 papers hereh-index 9636 citations14 works total

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

author position
  • middle author12

Across the 12 of 13 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.CL4
  • cs.AI3
same name
  • Xiao Zhou — 14 papers, h 8
  • Xiao Zhou — 10 papers, h 4
  • Xiao Zhou — 9 papers, h 3
  • Xiao Zhou — 8 papers, h 2
  • Xiao Zhou — 7 papers, h 3
  • Xiao Zhou — 7 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
20202026
most citedWeLM: A Well-Read Pre-trained Language Model for Chinese

6 citations · 15 across the 10 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation

Changze Lv, Jie Zhou, Wentao Zhao +13

Nowadays, developing reliable DeepResearch-style long-form report generation remains challenging, as training and evaluation lack verifiable reward signals. Accordingly, rubric-bas…

cs.CL2025

AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora

Jiaxin Bai, Wei Fan, Qi Hu +17

We present AutoSchemaKG, a framework for fully autonomous knowledge graph construction that eliminates the need for predefined schemas. Our system leverages large language models t…

cs.CL2022★ 6 cited

WeLM: A Well-Read Pre-trained Language Model for Chinese

Hui Su, Xiao Zhou, Houjin Yu +5

Large Language Models pre-trained with self-supervised learning have demonstrated impressive zero-shot generalization capabilities on a wide spectrum of tasks. In this work, we pre…

cs.CL2020★ 3 cited

Diversifying Dialogue Generation with Non-Conversational Text

Hui Su, Xiaoyu Shen, Sanqiang Zhao +5

Neural network-based sequence-to-sequence (seq2seq) models strongly suffer from the low-diversity problem when it comes to open-domain dialogue generation. As bland and generic utt…

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