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Shuang Zeng

Shuang Zeng has 2 papers in our library, in 2020–2026, most of them on Language models & pretraining, Information extraction, Evaluation & benchmarks; often with Baobao Chang, J. Ben Tamo, Lei Li.

2 papers in our library · 2020–2026

OpenAlex · ORCID · h-index 8 · 21 works · 484 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 127 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4864

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

🎓Peking UniversityBeijing · China2020–2026 · 16 papersEmployment since 2021 · PhD, Department of Future Technologycurrent🎓Dalian Medical UniversityDalian · China2026 · 1 papercurrent🏥Second Affiliated Hospital of Dalian Medical UniversityDalian · China2026 · 1 papercurrent🎓University of Hong KongPok Fu Lam · China2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 work

🧭 Topics 4Research subjects and languages the work is about.Information extraction · 1 workReasoning · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Double Graph Based Reasoning for Document-level Relation Extraction (2020 · 314 citations)
    The paper addresses document-level relation extraction, where the entities in a relation often occur in different sentences, appear several times under different mentions, and may be linked only through intermediate facts.
  2. MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics (2026)
    LLMs are increasingly used in metabolomics, but nobody has systematically tested which tasks in this field they handle reliably.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Double Graph Based Reasoning for Document-level Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Shuang Zeng, Runxin Xu, Baobao Chang, et al.2020 · 314 citations
  2. A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetRunxin Xu et al.2022 · 98 citations
  3. SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetShuang Zeng, Yuting Wu, Baobao Chang2021 · 94 citations
  4. MetaBench: A Multi-task Benchmark for Assessing LLMs in MetabolomicsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxing Lu, Xukai Zhao, J. Ben Tamo, et al.2026

 Co-authors here

7 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 127 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

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