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Xiaojun Chen

4 papers hereh-index 4144 citations12 works total

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

author position
  • middle author2
  • last author1

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

fields
  • cs.CL3
  • cs.AI1
same name
  • Xiaojun Chen — 21 papers, h 8
  • Xiaojun Chen — 18 papers, h 52
  • Xiaojun Chen — 16 papers, h 31
  • Xiaojun Chen — 12 papers, h 3
  • Xiaojun Chen — 8 papers, h 20
  • Xiaojun Chen — 8 papers, h 2

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
20182026
most citedTriple Trustworthiness Measurement for Knowledge Graph

75 citations · 76 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

EntSQL: A Benchmark for Grounding Text-to-SQL in Long-Context Enterprise Knowledge

Chengxi Liao, Tao Xu, Zulong Chen +7

Text-to-SQL enables natural language access to databases, and recent LLMs have substantially advanced its capabilities. Existing benchmarks such as Spider, BIRD, and Spider~2.0 eva…

cs.CL2026

Knowledge Distillation for Low-Resource Open-source Text-to-SQL Model

Tianhao Qiu, Xiaojun Chen

Text-to-SQL converts natural language questions into executable SQL queries, enabling non-technical users to access relational databases for analytics and intelligent data services…

cs.CL2020★ 1 cited

Incorporating Uncertain Segmentation Information into Chinese NER for Social Media Text

Shengbin Jia, Ling Ding, Xiaojun Chen +2

Chinese word segmentation is necessary to provide word-level information for Chinese named entity recognition (NER) systems. However, segmentation error propagation is a challenge…

cs.AI2018★ 75 cited

Triple Trustworthiness Measurement for Knowledge Graph

Shengbin Jia, Yang Xiang, Xiaojun Chen

The Knowledge graph (KG) uses the triples to describe the facts in the real world. It has been widely used in intelligent analysis and applications. However, possible noises and co…

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