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researcher

Xinyu Liu

5 papers hereh-index 5215 citations6 works total

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

author position
  • first author2
  • middle author3

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.DB4
  • cs.AI1
same name
  • Xinyu Liu — 13 papers, h 5
  • Xinyu Liu — 11 papers, h 6
  • Xinyu Liu — 10 papers, h 3
  • Xinyu Liu — 9 papers, h 10
  • Xinyu Liu — 8 papers, h 3
  • Xinyu Liu — 7 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

most citedDeepEye: A Steerable Self-driving Data Agent System

1 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.DBShow all

4 papers · 1 filter

cs.DB2026★ 1 cited

DeepEye: A Steerable Self-driving Data Agent System

Boyan Li, Yiran Peng, Yupeng Xie +5

Large Language Models (LLMs) have revolutionized natural language interaction with data. The "holy grail" of data analytics is to build autonomous Data Agents that can self-drive c…

cs.DB2026★ 1 cited

A Survey of Data Agents: Emerging Paradigm or Overstated Hype?

Yizhang Zhu, Liangwei Wang, Chenyu Yang +22

The rapid advancement of large language models (LLMs) has spurred the emergence of data agents, autonomous systems designed to orchestrate Data + AI ecosystems for tackling complex…

cs.DB2025★ 46 cited

A Survey of Text-to-SQL in the Era of LLMs: Where are we, and where are we going?

Xinyu Liu, Shuyu Shen, Boyan Li +7

Translating users' natural language queries (NL) into SQL queries (i.e., Text-to-SQL, a.k.a. NL2SQL) can significantly reduce barriers to accessing relational databases and support…

cs.DB2025

NL2SQL-BUGs: A Benchmark for Detecting Semantic Errors in NL2SQL Translation

Xinyu Liu, Shuyu Shen, Boyan Li +2

Natural Language to SQL (i.e., NL2SQL) translation is crucial for democratizing database access, but even state-of-the-art models frequently generate semantically incorrect SQL que…

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