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Zhichao Shi

Zhichao Shi has 3 papers in our library, in 2026, most of them on Evaluation & benchmarks, Language models & pretraining, Multilingual & cross-lingual NLP; often with Chengjin Xu, Jian Guo, Xuhui Jiang.

3 papers in our library · 2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · ⭐ Paper Stars ranking: #11865

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

🎓Dalian University of TechnologyDalian · China2026 · 1 papercurrent🔬Institute of Computing TechnologyBeijing · China2026 · 1 papercurrent🎓University of Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksComputer Networks and Communications · 1 work

🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksLanguage models & pretraining · 1 workMultilingual & cross-lingual NLP · 1 workVision & language · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis (2026)
    Synthetic data can ease data shortages for LLMs in specialised domains and low-resource languages, but current tools tend to be hard for non-experts, rely on inconsistent data formats, and handle extra modalities or languages poorly.
  2. JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation (2026)
    Static benchmarks for LLMs saturate quickly, cover a fixed slice of knowledge, risk contamination, and pose questions whose difficulty may not suit the model under test.
  3. ROSE: An Intent-Centered Evaluation Metric for NL2SQL (2026)
    The paper argues that Execution Accuracy (EX), the standard NL2SQL metric, gives misleading scores. EX only checks whether a predicted query returns the same result as one reference SQL. It therefore fails in three situations: correct queries with different output formatting or column order, valid alternative…

 Co-authors here

11 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.

Updated

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