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Xiao Ding

Xiao Ding has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Evaluation & benchmarks; often with Bing Qin, Gang Chen, Junbo Zhao.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 13 · 88 works · 681 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 166 times in our library · ⭐ Paper Stars ranking: #4061

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Harbin Institute of TechnologyHarbin · China2022–2025 · 18 paperscurrent🎓Anhui UniversityHefei · China2021–2025 · 13 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2024–2025 · 2 paperscurrent🔬Kunming Institute of BotanyKunming · China2024–2025 · 2 paperscurrent🎓Changzhou UniversityChangzhou · China2025 · 1 papercurrent🎓Chinese Academy of Medical Sciences & Peking Union Medical CollegeBeijing · China2025 · 1 papercurrent🎓Communication University of ChinaBeijing · China2025 · 1 papercurrent🎓Jiangsu UniversityZhenjiang · China2025 · 1 papercurrent🔬State Key Laboratory of Media Convergence and CommunicationBeijing2025 · 1 papercurrent🏢State Grid Corporation of ChinaBeijing · China2011–2024 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 19 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2020s

20241 paperOn LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey20231 paperExamining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate

 Papers

The most cited first (OpenAlex and our library).

  1. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey (2024 · 236 citations)
    Building strong NLP models depends on large amounts of diverse, well-labelled data. Collecting such data from people is expensive, sometimes impossible because of scarcity or privacy, and still prone to bias and error. LLMs can produce fluent text and follow instructions closely, which makes them attractive data…
  2. Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate (2023 · 94 citations)
    Work on LLM consistency usually examines a single model. This paper asks whether several LLMs can work together and agree on a shared answer. The authors use multi-choice commonsense reasoning as a testbed because disagreement between models can be measured exactly. They define a metric, INCON, which is the share of…

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 166 times (of the 141,840 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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